forked from filipg/aitech-eks-pub
4572 lines
192 KiB
Plaintext
4572 lines
192 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false
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},
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"source": [
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"\n",
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"<div class=\"alert alert-block alert-info\">\n",
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"<h1> Ekstrakcja informacji </h1>\n",
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"<h2> 3. <i>Wyszukiwarki \u2014 TF-IDF</i> [wyk\u0142ad]</h2> \n",
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"<h3> Filip Grali\u0144ski (2021)</h3>\n",
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"</div>\n",
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"\n",
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""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Wyszukiwarka - szybka i sensowna"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Roboczy przyk\u0142ad\n",
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"\n",
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"Zak\u0142adamy, \u017ce mamy pewn\u0105 kolekcj\u0119 dokument\u00f3w $D = {d_1, \\ldots, d_N}$. ($N$ - liczba dokument\u00f3w w kolekcji)."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Ala ma kota."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"{-# LANGUAGE OverloadedStrings #-}\n",
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"\n",
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"import Data.Text hiding(map, filter, zip)\n",
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"import Prelude hiding(words, take)\n",
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"\n",
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"collectionD :: [Text]\n",
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"collectionD = [\"Ala ma kota.\", \"Podobno jest kot w butach.\", \"Ty chyba masz kota!\", \"But chyba zgubi\u0142em.\", \"Kot ma kota.\"]\n",
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"\n",
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"-- Operator (!!) zwraca element listy o podanym indeksie\n",
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"-- (Przy wi\u0119kszych listach b\u0119dzie nieefektywne, ale nie b\u0119dziemy komplikowa\u0107)\n",
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"Prelude.head collectionD"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Wydobycie tekstu\n",
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"\n",
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"Przyk\u0142adowe narz\u0119dzia:\n",
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"\n",
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"* pdftotext\n",
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"* antiword\n",
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"* Tesseract OCR\n",
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"* Apache Tika - uniwersalne narz\u0119dzie do wydobywania tekstu z r\u00f3\u017cnych format\u00f3w\n",
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"\n",
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"## Normalizacja tekstu\n",
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"\n",
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"Cokolwiek robimy z tekstem, najpierw musimy go _znormalizowa\u0107_."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Tokenizacja\n",
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"\n",
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"Po pierwsze musimy podzieli\u0107 tekst na _tokeny_, czyli wyrazapodobne jednostki.\n",
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"Mo\u017ce po prostu podzieli\u0107 po spacjach?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Ala"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"ma"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kota."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"tokenizeStupidly :: Text -> [Text]\n",
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"-- words to funkcja z Data.Text, kt\u00f3ra dzieli po spacjach\n",
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"tokenizeStupidly = words\n",
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"\n",
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"tokenizeStupidly $ Prelude.head collectionD"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"A, trzeba _chocia\u017c_ odsun\u0105\u0107 znaki interpunkcyjne. Najpro\u015bciej u\u017cy\u0107 wyra\u017cenia regularnego. Warto u\u017cy\u0107 [unikodowych w\u0142asno\u015bci](https://en.wikipedia.org/wiki/Unicode_character_property) znak\u00f3w i konstrukcji `\\p{...}`. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"But"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"chyba"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"zgubi\u0142em"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"{-# LANGUAGE QuasiQuotes #-}\n",
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"\n",
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"import Text.Regex.PCRE.Heavy\n",
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"\n",
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"tokenize :: Text -> [Text]\n",
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"tokenize = map fst . scan [re|C\\+\\+|[\\p{L}0-9]+|\\p{P}|]\n",
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"\n",
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"tokenize $ collectionD !! 3\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Ca\u0142a kolekcja stokenizowana:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Ala"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"ma"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kota"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Podobno"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"jest"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kot"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"w"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"butach"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Ty"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"chyba"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"masz"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kota"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"!"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"But"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"chyba"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"zgubi\u0142em"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Kot"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"ma"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kota"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"."
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"map tokenize collectionD"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Problemy z tokenizacj\u0105\n",
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"\n",
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"##### J\u0119zyk angielski"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"I"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"use"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"a"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"data"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"-"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"base"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"tokenize \"I use a data-base\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"I"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"use"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"a"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"database"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
|
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"source": [
|
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"tokenize \"I use a database\""
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]
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},
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{
|
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"cell_type": "code",
|
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"execution_count": 21,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"I"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"use"
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]
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},
|
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"a"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"data"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"base"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
|
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"source": [
|
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"tokenize \"I use a data base\""
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]
|
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"I"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"don"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"'"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"t"
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]
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},
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"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"like"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Python"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"'I don't like Python'\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"I"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"can"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"see"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"the"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Johnes"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"house"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"I can see the Johnes' house\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"I"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"do"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"not"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"like"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Python"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"I do not like Python\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0018"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"555"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"-"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"555"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"-"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"122"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"+0018 555-555-122\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 24,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0018555555122"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"+0018555555122\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Which"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"one"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"is"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"better"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
":"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"C++"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"or"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"C"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"#"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"?"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"Which one is better: C++ or C#?\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"##### Inne j\u0119zyki?"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 28,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Rechtsschutzversicherungsgesellschaften"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"wie"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"die"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"HUK"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"-"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Coburg"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"machen"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"es"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"bereits"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"seit"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"geraumer"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Zeit"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"vor"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
":"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"Rechtsschutzversicherungsgesellschaften wie die HUK-Coburg machen es bereits seit geraumer Zeit vor:\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 29,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u4eca\u65e5\u6ce2\u5179\u5357\u662f\u8d38\u6613"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u3001"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u5de5\u4e1a\u53ca\u6559\u80b2\u7684\u4e2d\u5fc3"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u3002"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u6ce2\u5179\u5357\u662f\u6ce2\u5170\u7b2c\u4e94\u5927\u7684\u57ce\u5e02\u53ca\u7b2c\u56db\u5927\u7684\u5de5\u4e1a\u4e2d\u5fc3"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\uff0c"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u6ce2\u5179\u5357\u4ea6\u662f\u5927\u6ce2\u5170\u7701\u7684\u884c\u653f\u9996\u5e9c"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u3002"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u4e5f\u8209\u8fa6\u6709\u4e0d\u5c11\u5c55\u89bd\u6703"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u3002"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u662f\u6ce2\u862d\u897f\u90e8\u91cd\u8981\u7684\u4ea4\u901a\u4e2d\u5fc3\u90fd\u5e02"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u3002"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"\u4eca\u65e5\u6ce2\u5179\u5357\u662f\u8d38\u6613\u3001\u5de5\u4e1a\u53ca\u6559\u80b2\u7684\u4e2d\u5fc3\u3002\u6ce2\u5179\u5357\u662f\u6ce2\u5170\u7b2c\u4e94\u5927\u7684\u57ce\u5e02\u53ca\u7b2c\u56db\u5927\u7684\u5de5\u4e1a\u4e2d\u5fc3\uff0c\u6ce2\u5179\u5357\u4ea6\u662f\u5927\u6ce2\u5170\u7701\u7684\u884c\u653f\u9996\u5e9c\u3002\u4e5f\u8209\u8fa6\u6709\u4e0d\u5c11\u5c55\u89bd\u6703\u3002\u662f\u6ce2\u862d\u897f\u90e8\u91cd\u8981\u7684\u4ea4\u901a\u4e2d\u5fc3\u90fd\u5e02\u3002\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"l"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ordinateur"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"tokenize \"l'ordinateur\""
|
|
]
|
|
},
|
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{
|
|
"cell_type": "markdown",
|
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"metadata": {},
|
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"source": [
|
|
"### Lematyzacja"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"_Lematyzacja_ to sprowadzenie do formy podstawowej (_lematu_), np. \"krze\u015ble\" do \"krzes\u0142o\", \"zrobimy\" do \"zrobi\u0107\" dla j\u0119zyka polskiego, \"chairs\" do \"chair\", \"made\" do \"make\" dla j\u0119zyka angielskiego."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Lematyzacja dla j\u0119zyka polskiego jest bardzo trudna, praktycznie nie spos\u00f3b wykona\u0107 j\u0105 regu\u0142owo, po prostu musimy si\u0119 postara\u0107 o bardzo obszerny _s\u0142ownik form fleksyjnych_.\n",
|
|
"\n",
|
|
"Na potrzeby tego wyk\u0142adu stw\u00f3rzmy sobie ma\u0142y s\u0142ownik form fleksyjnych w postaci tablicy asocjacyjnej (haszuj\u0105cej)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
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"metadata": {},
|
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"outputs": [
|
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{
|
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"data": {
|
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"text/html": [
|
|
"<style>/* Styles used for the Hoogle display in the pager */\n",
|
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".hoogle-doc {\n",
|
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"display: block;\n",
|
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"padding-bottom: 1.3em;\n",
|
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"padding-left: 0.4em;\n",
|
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"}\n",
|
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".hoogle-code {\n",
|
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"display: block;\n",
|
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"font-family: monospace;\n",
|
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"white-space: pre;\n",
|
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"}\n",
|
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".hoogle-text {\n",
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"display: block;\n",
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"}\n",
|
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".hoogle-name {\n",
|
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"color: green;\n",
|
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"font-weight: bold;\n",
|
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"}\n",
|
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".hoogle-head {\n",
|
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"font-weight: bold;\n",
|
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"}\n",
|
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".hoogle-sub {\n",
|
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"display: block;\n",
|
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"margin-left: 0.4em;\n",
|
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"}\n",
|
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".hoogle-package {\n",
|
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"font-weight: bold;\n",
|
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"font-style: italic;\n",
|
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"}\n",
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".hoogle-module {\n",
|
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"font-weight: bold;\n",
|
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"}\n",
|
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".hoogle-class {\n",
|
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"font-weight: bold;\n",
|
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"}\n",
|
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".get-type {\n",
|
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"color: green;\n",
|
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"font-weight: bold;\n",
|
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"font-family: monospace;\n",
|
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"display: block;\n",
|
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"white-space: pre-wrap;\n",
|
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"}\n",
|
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".show-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
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"font-family: monospace;\n",
|
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"margin-left: 1em;\n",
|
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"}\n",
|
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".mono {\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
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"}\n",
|
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".err-msg {\n",
|
|
"color: red;\n",
|
|
"font-style: italic;\n",
|
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"font-family: monospace;\n",
|
|
"white-space: pre;\n",
|
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"display: block;\n",
|
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"}\n",
|
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"#unshowable {\n",
|
|
"color: red;\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".err-msg.in.collapse {\n",
|
|
"padding-top: 0.7em;\n",
|
|
"}\n",
|
|
".highlight-code {\n",
|
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"white-space: pre;\n",
|
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"font-family: monospace;\n",
|
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"}\n",
|
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".suggestion-warning { \n",
|
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"font-weight: bold;\n",
|
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"color: rgb(200, 130, 0);\n",
|
|
"}\n",
|
|
".suggestion-error { \n",
|
|
"font-weight: bold;\n",
|
|
"color: red;\n",
|
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"}\n",
|
|
".suggestion-name {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Use head</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">collectionD !! 0</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">head collectionD</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 22: Use head\n",
|
|
"Found:\n",
|
|
"collectionD !! 0\n",
|
|
"Why not:\n",
|
|
"head collectionD"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"but"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"butami"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Ala"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mie\u0107"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"."
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Wczoraj"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kupi\u0142em"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"."
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import Data.Map as Map hiding(take, map, filter)\n",
|
|
"\n",
|
|
"mockInflectionDictionary :: Map Text Text\n",
|
|
"mockInflectionDictionary = Map.fromList [\n",
|
|
" (\"kota\", \"kot\"),\n",
|
|
" (\"butach\", \"but\"),\n",
|
|
" (\"masz\", \"mie\u0107\"),\n",
|
|
" (\"ma\", \"mie\u0107\"),\n",
|
|
" (\"buta\", \"but\"),\n",
|
|
" (\"zgubi\u0142em\", \"zgubi\u0107\")]\n",
|
|
"\n",
|
|
"lemmatizeWord :: Map Text Text -> Text -> Text\n",
|
|
"lemmatizeWord dict w = findWithDefault w w dict\n",
|
|
"\n",
|
|
"lemmatizeWord mockInflectionDictionary \"butach\"\n",
|
|
"-- a tego nie ma w naszym s\u0142owniczku, wi\u0119c zwracamy to samo\n",
|
|
"lemmatizeWord mockInflectionDictionary \"butami\"\n",
|
|
"\n",
|
|
"lemmatize :: Map Text Text -> [Text] -> [Text]\n",
|
|
"lemmatize dict = map (lemmatizeWord dict)\n",
|
|
"\n",
|
|
"lemmatize mockInflectionDictionary $ tokenize $ collectionD !! 0 \n",
|
|
"\n",
|
|
"lemmatize mockInflectionDictionary $ tokenize \"Wczoraj kupi\u0142em kota.\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**Pytanie**: Nawet w naszym s\u0142owniczku mamy problemy z niejednoznaczno\u015bci\u0105 lematyzacji. Jakie?\n",
|
|
"\n",
|
|
"Obszerny s\u0142ownik form fleksyjnych dla j\u0119zyka polskiego: http://zil.ipipan.waw.pl/PoliMorf?action=AttachFile&do=view&target=PoliMorf-0.6.7.tab.gz"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Stemowanie\n",
|
|
"\n",
|
|
"Stemowanie (rdzeniowanie) obcina wyraz do _rdzenia_ niekoniecznie b\u0119d\u0105cego sensownym wyrazem, np. \"krze\u015ble\" mo\u017ce by\u0107 rdzeniowane do \"krze\u015bl\", \"krze\u015b\" albo \"krzes\", \"zrobimy\" do \"zrobi\".\n",
|
|
"\n",
|
|
"* stemowanie nie jest tak dobrze okre\u015blone jak lematyzacja (mo\u017cna robi\u0107 na wiele sposob\u00f3w)\n",
|
|
"* bardziej podatne na metody regu\u0142owe (cho\u0107 dla polskiego i tak trudno)\n",
|
|
"* dla angielskiego istniej\u0105 znane algorytmy stemowania, np. [algorytm Portera](https://tartarus.org/martin/PorterStemmer/def.txt)\n",
|
|
"* zob. te\u017c [program Snowball](https://snowballstem.org/) z regu\u0142ami dla wielu j\u0119zyk\u00f3w\n",
|
|
"\n",
|
|
"Prosty stemmer \"dla ubogich\" dla j\u0119zyka polskiego to obcinanie do sze\u015bciu znak\u00f3w."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 35,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"zrobim"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"komput"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"butach"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u017ad\u017ab\u0142a"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"poorMansStemming :: Text -> Text\n",
|
|
"poorMansStemming = Data.Text.take 6\n",
|
|
"\n",
|
|
"poorMansStemming \"zrobimy\"\n",
|
|
"poorMansStemming \"komputerami\"\n",
|
|
"poorMansStemming \"butach\"\n",
|
|
"poorMansStemming \"\u017ad\u017ab\u0142ami\"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### _Stop words_\n",
|
|
"\n",
|
|
"Cz\u0119sto wyszukiwarki pomijaj\u0105 kr\u00f3tkie, cz\u0119ste i nienios\u0105ce znaczenia s\u0142owa - _stop words_ (_s\u0142owa przestankowe_)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"False"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"True"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"isStopWord :: Text -> Bool\n",
|
|
"isStopWord \"w\" = True\n",
|
|
"isStopWord \"jest\" = True\n",
|
|
"isStopWord \"\u017ce\" = True\n",
|
|
"-- przy okazji mo\u017cemy pozby\u0107 si\u0119 znak\u00f3w interpunkcyjnych\n",
|
|
"isStopWord w = w \u2248 [re|^\\p{P}+$|]\n",
|
|
"\n",
|
|
"isStopWord \"kot\"\n",
|
|
"isStopWord \"!\"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Ala"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ma"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kota"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"removeStopWords :: [Text] -> [Text]\n",
|
|
"removeStopWords = filter (not . isStopWord)\n",
|
|
"\n",
|
|
"removeStopWords $ tokenize $ Prelude.head collectionD "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**Pytanie**: Jakim zapytaniom usuwanie _stop words_ mo\u017ce szkodzi\u0107? Poda\u0107 przyk\u0142ady dla j\u0119zyka polskiego i angielskiego. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Normalizacja - r\u00f3\u017cno\u015bci\n",
|
|
"\n",
|
|
"W sk\u0142ad normalizacji mo\u017ce te\u017c wchodzi\u0107:\n",
|
|
"\n",
|
|
"* poprawianie b\u0142\u0119d\u00f3w literowych\n",
|
|
"* sprowadzanie do ma\u0142ych liter (lower-casing czy raczej case-folding)\n",
|
|
"* usuwanie znak\u00f3w diakrytycznych\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u017cd\u017ab\u0142o"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"toLower \"\u017bD\u0179B\u0141O\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"\u017ad\u017ab\u0142o"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"toCaseFold \"\u0179D\u0179B\u0141O\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**Pytanie:** Kiedy _case-folding_ da inny wynik ni\u017c _lower-casing_? Jakie to ma praktyczne znaczenie?"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Normalizacja jako ca\u0142o\u015bciowy proces\n",
|
|
"\n",
|
|
"Najwa\u017cniejsza zasada: dokumenty w naszej kolekcji powinny by\u0107 normalizowane w dok\u0142adnie taki spos\u00f3b, jak zapytania.\n",
|
|
"\n",
|
|
"Efektem normalizacji jest zamiana dokumentu na ci\u0105g _term\u00f3w_ (ang. _terms_), czyli znormalizowanych wyraz\u00f3w.\n",
|
|
"\n",
|
|
"Innymi s\u0142owy po normalizacji dokument $d_i$ traktujemy jako ci\u0105g term\u00f3w $t_i^1,\\dots,t_i^{|d_i|}$."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ala"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mie\u0107"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"podobn"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kot"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"but"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"text/plain": [
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"ty"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"chyba"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"mie\u0107"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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"data": {
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"text/plain": [
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"kot"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/plain": [
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"but"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"chyba"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"zgubi\u0107"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kot"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"mie\u0107"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"kot"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
|
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"normalize :: Text -> [Text]\n",
|
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"normalize = map poorMansStemming . removeStopWords . map toLower . lemmatize mockInflectionDictionary . tokenize\n",
|
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"\n",
|
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"map normalize collectionD"
|
|
]
|
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},
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{
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"cell_type": "markdown",
|
|
"metadata": {},
|
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"source": [
|
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"Zbi\u00f3r wszystkich term\u00f3w w kolekcji dokument\u00f3w nazywamy s\u0142ownikiem (ang. _vocabulary_), nie myli\u0107 ze s\u0142ownikiem jako struktur\u0105 danych w Pythonie (_dictionary_).\n",
|
|
"\n",
|
|
"$$V = \\bigcup_{i=1}^N \\{t_i^1,\\dots,t_i^{|d_i|}\\}$$\n",
|
|
"\n",
|
|
"(To zbi\u00f3r, wi\u0119c liczymy bez powt\u00f3rze\u0144!)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"fromList [\"ala\",\"but\",\"chyba\",\"kot\",\"mie\\263\",\"podobn\",\"ty\",\"zgubi\\263\"]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import Data.Set as Set hiding(map)\n",
|
|
"\n",
|
|
"getVocabulary :: [Text] -> Set Text \n",
|
|
"getVocabulary = Set.unions . map (Set.fromList . normalize) \n",
|
|
"\n",
|
|
"getVocabulary collectionD"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Jak wyszukiwarka mo\u017ce by\u0107 szybka?\n",
|
|
"\n",
|
|
"_Odwr\u00f3cony indeks_ (ang. _inverted index_) pozwala wyszukiwarce szybko szuka\u0107 w milionach dokument\u00f3w. Odwr\u00f3cony indeks to prostu... indeks, jaki znamy z ksi\u0105\u017cek (mapowanie s\u0142\u00f3w na numery stron/dokument\u00f3w).\n",
|
|
"\n",
|
|
"\n",
|
|
"\n"
|
|
]
|
|
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|
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{
|
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"cell_type": "code",
|
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"execution_count": 43,
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"metadata": {},
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"outputs": [
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"text/html": [
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|
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|
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|
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|
|
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|
|
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|
|
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|
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|
|
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|
|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
|
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|
|
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|
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|
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|
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|
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|
|
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|
|
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|
|
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|
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|
|
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|
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|
|
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|
|
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|
|
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|
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|
|
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|
|
"font-style: italic;\n",
|
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"font-family: monospace;\n",
|
|
"white-space: pre;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
"#unshowable {\n",
|
|
"color: red;\n",
|
|
"font-weight: bold;\n",
|
|
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|
|
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|
|
"padding-top: 0.7em;\n",
|
|
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|
|
".highlight-code {\n",
|
|
"white-space: pre;\n",
|
|
"font-family: monospace;\n",
|
|
"}\n",
|
|
".suggestion-warning { \n",
|
|
"font-weight: bold;\n",
|
|
"color: rgb(200, 130, 0);\n",
|
|
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|
|
".suggestion-error { \n",
|
|
"font-weight: bold;\n",
|
|
"color: red;\n",
|
|
"}\n",
|
|
".suggestion-name {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Use tuple-section</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">\\ t -> (t, ix)</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">(, ix)</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 4: Use tuple-section\n",
|
|
"Found:\n",
|
|
"\\ t -> (t, ix)\n",
|
|
"Why not:\n",
|
|
"(, ix)"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"fromList [(\"chyba\",2),(\"kot\",2),(\"mie\\263\",2),(\"ty\",2)]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"collectionDNormalized = map normalize collectionD\n",
|
|
"\n",
|
|
"documentToPostings :: ([Text], Int) -> Set (Text, Int)\n",
|
|
"documentToPostings (d, ix) = Set.fromList $ map (\\t -> (t, ix)) d\n",
|
|
"\n",
|
|
"documentToPostings (collectionDNormalized !! 2, 2) \n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>/* Styles used for the Hoogle display in the pager */\n",
|
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".hoogle-doc {\n",
|
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|
|
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|
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|
|
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|
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|
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|
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|
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|
|
".hoogle-text {\n",
|
|
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|
|
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|
|
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|
|
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|
|
"font-weight: bold;\n",
|
|
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|
|
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|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
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|
|
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|
|
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|
|
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|
|
".hoogle-package {\n",
|
|
"font-weight: bold;\n",
|
|
"font-style: italic;\n",
|
|
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|
|
".hoogle-module {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".hoogle-class {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".get-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
|
"white-space: pre-wrap;\n",
|
|
"}\n",
|
|
".show-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"font-family: monospace;\n",
|
|
"margin-left: 1em;\n",
|
|
"}\n",
|
|
".mono {\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
".err-msg {\n",
|
|
"color: red;\n",
|
|
"font-style: italic;\n",
|
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"font-family: monospace;\n",
|
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"white-space: pre;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
"#unshowable {\n",
|
|
"color: red;\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
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|
|
"padding-top: 0.7em;\n",
|
|
"}\n",
|
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|
|
"white-space: pre;\n",
|
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|
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".suggestion-warning { \n",
|
|
"font-weight: bold;\n",
|
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"color: rgb(200, 130, 0);\n",
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"}\n",
|
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".suggestion-error { \n",
|
|
"font-weight: bold;\n",
|
|
"color: red;\n",
|
|
"}\n",
|
|
".suggestion-name {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Use zipWith</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">map documentToPostings $ Prelude.zip coll [0 .. ]</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">zipWith (curry documentToPostings) coll [0 .. ]</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 2: Use zipWith\n",
|
|
"Found:\n",
|
|
"map documentToPostings $ Prelude.zip coll [0 .. ]\n",
|
|
"Why not:\n",
|
|
"zipWith (curry documentToPostings) coll [0 .. ]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"fromList [(\"ala\",0),(\"but\",1),(\"but\",3),(\"chyba\",2),(\"chyba\",3),(\"kot\",0),(\"kot\",1),(\"kot\",2),(\"kot\",4),(\"mie\\263\",0),(\"mie\\263\",2),(\"mie\\263\",4),(\"podobn\",1),(\"ty\",2),(\"zgubi\\263\",3)]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"collectionToPostings :: [[Text]] -> Set (Text, Int)\n",
|
|
"collectionToPostings coll = Set.unions $ map documentToPostings $ Prelude.zip coll [0..]\n",
|
|
"\n",
|
|
"collectionToPostings collectionDNormalized"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>/* Styles used for the Hoogle display in the pager */\n",
|
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".hoogle-doc {\n",
|
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"display: block;\n",
|
|
"padding-bottom: 1.3em;\n",
|
|
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|
|
"}\n",
|
|
".hoogle-code {\n",
|
|
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|
|
"font-family: monospace;\n",
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|
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|
|
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|
|
".hoogle-text {\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
".hoogle-head {\n",
|
|
"font-weight: bold;\n",
|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
|
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|
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|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
|
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|
|
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|
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".suggestion-name {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Eta reduce</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">updateInvertedIndex (t, ix) invIndex\n",
|
|
" = insertWith (++) t [ix] invIndex</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">updateInvertedIndex (t, ix) = insertWith (++) t [ix]</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 2: Eta reduce\n",
|
|
"Found:\n",
|
|
"updateInvertedIndex (t, ix) invIndex\n",
|
|
" = insertWith (++) t [ix] invIndex\n",
|
|
"Why not:\n",
|
|
"updateInvertedIndex (t, ix) = insertWith (++) t [ix]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
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{
|
|
"data": {
|
|
"text/plain": [
|
|
"fromList [(\"ala\",[0]),(\"but\",[1,3]),(\"chyba\",[2,3]),(\"kot\",[0,1,2,4]),(\"mie\\263\",[0,2,4]),(\"podobn\",[1]),(\"ty\",[2]),(\"zgubi\\263\",[3])]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0,1,2,4]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"updateInvertedIndex :: (Text, Int) -> Map Text [Int] -> Map Text [Int]\n",
|
|
"updateInvertedIndex (t, ix) invIndex = insertWith (++) t [ix] invIndex\n",
|
|
"\n",
|
|
"getInvertedIndex :: [[Text]] -> Map Text [Int]\n",
|
|
"getInvertedIndex = Prelude.foldr updateInvertedIndex Map.empty . Set.toList . collectionToPostings\n",
|
|
"\n",
|
|
"ind = getInvertedIndex collectionDNormalized\n",
|
|
"ind\n",
|
|
"ind ! \"kot\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": []
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Relewantno\u015b\u0107\n",
|
|
"\n",
|
|
"Potrafimy szybko przeszukiwa\u0107 znormalizowane dokumenty, ale kt\u00f3re dokumenty s\u0105 wa\u017cne (_relewantne_) wzgl\u0119dem potrzeby informacyjnej u\u017cytkownika?\n",
|
|
"\n",
|
|
"### Zapytania boole'owskie\n",
|
|
"\n",
|
|
"* `pizzeria Pozna\u0144 dow\u00f3z` to `pizzeria AND Pozna\u0144 AND dow\u00f3z` czy `pizzeria OR Pozna\u0144 OR dow\u00f3z`\n",
|
|
"* `(pizzeria OR pizza OR tratoria) AND Pozna\u0144 AND dow\u00f3z\n",
|
|
"* `pizzeria AND Pozna\u0144 AND dow\u00f3z AND NOT golonka`\n",
|
|
"\n",
|
|
"Jak domy\u015blnie interpretowa\u0107 zapytanie?\n",
|
|
"\n",
|
|
"* jako zapytanie AND -- by\u0107 mo\u017ce za ma\u0142o dokument\u00f3w\n",
|
|
"* rozwi\u0105zanie po\u015brednie?\n",
|
|
"* jako zapytanie OR -- by\u0107 mo\u017ce za du\u017co dokument\u00f3w\n",
|
|
"\n",
|
|
"Mo\u017cemy jakie\u015b miary dopasowania dokumentu do zapytania, \u017ceby m\u00f3c posortowa\u0107 dokumenty...\n",
|
|
"\n",
|
|
"### Mierzenie dopasowania dokumentu do zapytania\n",
|
|
"\n",
|
|
"Potrzebujemy jakie\u015b funkcji $\\sigma : Q x D \\rightarrow \\mathbb{R}$. \n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Musimy jako\u015b zamieni\u0107 dokumenty na liczby, tj. dokumenty na wektory liczb, a ca\u0142\u0105 kolekcj\u0119 na macierz.\n",
|
|
"\n",
|
|
"Po pierwsze ponumerujmy wszystkie termy ze s\u0142ownika."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"fromList [(0,\"ala\"),(1,\"but\"),(2,\"chyba\"),(3,\"kot\"),(4,\"mie\\263\"),(5,\"podobn\"),(6,\"ty\"),(7,\"zgubi\\263\")]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"fromList [(\"ala\",0),(\"but\",1),(\"chyba\",2),(\"kot\",3),(\"mie\\263\",4),(\"podobn\",5),(\"ty\",6),(\"zgubi\\263\",7)]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ala"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"2"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"voc = getVocabulary collectionD\n",
|
|
"\n",
|
|
"vocD :: Map Int Text\n",
|
|
"vocD = Map.fromList $ zip [0..] $ Set.toList voc\n",
|
|
"\n",
|
|
"invvocD :: Map Text Int\n",
|
|
"invvocD = Map.fromList $ zip (Set.toList voc) [0..]\n",
|
|
"\n",
|
|
"vocD\n",
|
|
"\n",
|
|
"invvocD\n",
|
|
"\n",
|
|
"vocD ! 0\n",
|
|
"invvocD ! \"chyba\"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Napiszmy funkcj\u0119, kt\u00f3ra _wektoryzuje_ znormalizowany dokument.\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>/* Styles used for the Hoogle display in the pager */\n",
|
|
".hoogle-doc {\n",
|
|
"display: block;\n",
|
|
"padding-bottom: 1.3em;\n",
|
|
"padding-left: 0.4em;\n",
|
|
"}\n",
|
|
".hoogle-code {\n",
|
|
"display: block;\n",
|
|
"font-family: monospace;\n",
|
|
"white-space: pre;\n",
|
|
"}\n",
|
|
".hoogle-text {\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
".hoogle-name {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".hoogle-head {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".hoogle-sub {\n",
|
|
"display: block;\n",
|
|
"margin-left: 0.4em;\n",
|
|
"}\n",
|
|
".hoogle-package {\n",
|
|
"font-weight: bold;\n",
|
|
"font-style: italic;\n",
|
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|
|
".hoogle-module {\n",
|
|
"font-weight: bold;\n",
|
|
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|
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".hoogle-class {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".get-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
|
"white-space: pre-wrap;\n",
|
|
"}\n",
|
|
".show-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"font-family: monospace;\n",
|
|
"margin-left: 1em;\n",
|
|
"}\n",
|
|
".mono {\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
".err-msg {\n",
|
|
"color: red;\n",
|
|
"font-style: italic;\n",
|
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"font-family: monospace;\n",
|
|
"white-space: pre;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
"#unshowable {\n",
|
|
"color: red;\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".err-msg.in.collapse {\n",
|
|
"padding-top: 0.7em;\n",
|
|
"}\n",
|
|
".highlight-code {\n",
|
|
"white-space: pre;\n",
|
|
"font-family: monospace;\n",
|
|
"}\n",
|
|
".suggestion-warning { \n",
|
|
"font-weight: bold;\n",
|
|
"color: rgb(200, 130, 0);\n",
|
|
"}\n",
|
|
".suggestion-error { \n",
|
|
"font-weight: bold;\n",
|
|
"color: red;\n",
|
|
"}\n",
|
|
".suggestion-name {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Redundant $</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">map (\\ i -> count (v ! i) doc) $ [0 .. (vecSize - 1)]</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">map (\\ i -> count (v ! i) doc) [0 .. (vecSize - 1)]</div></div><div class=\"suggestion-name\" style=\"clear:both;\">Redundant bracket</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">(collectionDNormalized !! 2)</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">collectionDNormalized !! 2</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 2: Redundant $\n",
|
|
"Found:\n",
|
|
"map (\\ i -> count (v ! i) doc) $ [0 .. (vecSize - 1)]\n",
|
|
"Why not:\n",
|
|
"map (\\ i -> count (v ! i) doc) [0 .. (vecSize - 1)]Line 9: Redundant bracket\n",
|
|
"Found:\n",
|
|
"(collectionDNormalized !! 2)\n",
|
|
"Why not:\n",
|
|
"collectionDNormalized !! 2"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ty"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"chyba"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mie\u0107"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"vectorize :: Int -> Map Int Text -> [Text] -> [Double]\n",
|
|
"vectorize vecSize v doc = map (\\i -> count (v ! i) doc) $ [0..(vecSize-1)]\n",
|
|
" where count t doc \n",
|
|
" | t `elem` doc = 1.0\n",
|
|
" | otherwise = 0.0\n",
|
|
" \n",
|
|
"vocSize = Set.size voc\n",
|
|
"\n",
|
|
"(collectionDNormalized !! 2)\n",
|
|
"vectorize vocSize vocD (collectionDNormalized !! 2)\n",
|
|
"\n",
|
|
"\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Jak inaczej uwzgl\u0119dni\u0107 cz\u0119sto\u015b\u0107 wyraz\u00f3w?\n",
|
|
"\n",
|
|
"<div style=\"display:none\">\n",
|
|
" $\n",
|
|
" \\newcommand{\\idf}{\\mathop{\\rm idf}\\nolimits}\n",
|
|
" \\newcommand{\\tf}{\\mathop{\\rm tf}\\nolimits}\n",
|
|
" \\newcommand{\\df}{\\mathop{\\rm df}\\nolimits}\n",
|
|
" \\newcommand{\\tfidf}{\\mathop{\\rm tfidf}\\nolimits}\n",
|
|
" $\n",
|
|
"</div>\n",
|
|
"\n",
|
|
"* $\\tf_{t,d}$ - term frequency\n",
|
|
"\n",
|
|
"* $1+\\log(\\tf_{t,d})$\n",
|
|
"\n",
|
|
"* $0.5 + \\frac{0.5 \\times \\tf_{t,d}}{max_t(\\tf_{t,d})}$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
|
"<style>/* Styles used for the Hoogle display in the pager */\n",
|
|
".hoogle-doc {\n",
|
|
"display: block;\n",
|
|
"padding-bottom: 1.3em;\n",
|
|
"padding-left: 0.4em;\n",
|
|
"}\n",
|
|
".hoogle-code {\n",
|
|
"display: block;\n",
|
|
"font-family: monospace;\n",
|
|
"white-space: pre;\n",
|
|
"}\n",
|
|
".hoogle-text {\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
".hoogle-name {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".hoogle-head {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".hoogle-sub {\n",
|
|
"display: block;\n",
|
|
"margin-left: 0.4em;\n",
|
|
"}\n",
|
|
".hoogle-package {\n",
|
|
"font-weight: bold;\n",
|
|
"font-style: italic;\n",
|
|
"}\n",
|
|
".hoogle-module {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".hoogle-class {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".get-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
|
"white-space: pre-wrap;\n",
|
|
"}\n",
|
|
".show-type {\n",
|
|
"color: green;\n",
|
|
"font-weight: bold;\n",
|
|
"font-family: monospace;\n",
|
|
"margin-left: 1em;\n",
|
|
"}\n",
|
|
".mono {\n",
|
|
"font-family: monospace;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
".err-msg {\n",
|
|
"color: red;\n",
|
|
"font-style: italic;\n",
|
|
"font-family: monospace;\n",
|
|
"white-space: pre;\n",
|
|
"display: block;\n",
|
|
"}\n",
|
|
"#unshowable {\n",
|
|
"color: red;\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
".err-msg.in.collapse {\n",
|
|
"padding-top: 0.7em;\n",
|
|
"}\n",
|
|
".highlight-code {\n",
|
|
"white-space: pre;\n",
|
|
"font-family: monospace;\n",
|
|
"}\n",
|
|
".suggestion-warning { \n",
|
|
"font-weight: bold;\n",
|
|
"color: rgb(200, 130, 0);\n",
|
|
"}\n",
|
|
".suggestion-error { \n",
|
|
"font-weight: bold;\n",
|
|
"color: red;\n",
|
|
"}\n",
|
|
".suggestion-name {\n",
|
|
"font-weight: bold;\n",
|
|
"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Redundant $</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">map (\\ i -> count (v ! i) doc) $ [0 .. (vecSize - 1)]</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">map (\\ i -> count (v ! i) doc) [0 .. (vecSize - 1)]</div></div><div class=\"suggestion-name\" style=\"clear:both;\">Redundant bracket</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">(collectionDNormalized !! 4)</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">collectionDNormalized !! 4</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 2: Redundant $\n",
|
|
"Found:\n",
|
|
"map (\\ i -> count (v ! i) doc) $ [0 .. (vecSize - 1)]\n",
|
|
"Why not:\n",
|
|
"map (\\ i -> count (v ! i) doc) [0 .. (vecSize - 1)]Line 7: Redundant bracket\n",
|
|
"Found:\n",
|
|
"(collectionDNormalized !! 4)\n",
|
|
"Why not:\n",
|
|
"collectionDNormalized !! 4"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mie\u0107"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"vectorizeTf :: Int -> Map Int Text -> [Text] -> [Double]\n",
|
|
"vectorizeTf vecSize v doc = map (\\i -> count (v ! i) doc) $ [0..(vecSize-1)]\n",
|
|
" where count t doc = fromIntegral $ (Prelude.length . Prelude.filter (== t)) doc\n",
|
|
"\n",
|
|
"vocSize = Set.size voc\n",
|
|
"\n",
|
|
"(collectionDNormalized !! 4)\n",
|
|
"vectorize vocSize vocD (collectionDNormalized !! 4)\n",
|
|
"vectorizeTf vocSize vocD (collectionDNormalized !! 4)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"<div style=\"display:none\">\n",
|
|
" $\n",
|
|
" \\newcommand{\\idf}{\\mathop{\\rm idf}\\nolimits}\n",
|
|
" \\newcommand{\\tf}{\\mathop{\\rm tf}\\nolimits}\n",
|
|
" \\newcommand{\\df}{\\mathop{\\rm df}\\nolimits}\n",
|
|
" \\newcommand{\\tfidf}{\\mathop{\\rm tfidf}\\nolimits}\n",
|
|
" $\n",
|
|
"</div>\n",
|
|
"\n",
|
|
"### Odwrotna cz\u0119sto\u015b\u0107 dokumentowa\n",
|
|
"\n",
|
|
"Czy wszystkie wyrazy s\u0105 tak samo wa\u017cne?\n",
|
|
"\n",
|
|
"**NIE.** Wyrazy pojawiaj\u0105ce si\u0119 w wielu dokumentach s\u0105 mniej wa\u017cne.\n",
|
|
"\n",
|
|
"Aby to uwzgl\u0119dni\u0107, przemna\u017camy frekwencj\u0119 wyrazu przez _odwrotn\u0105\n",
|
|
" cz\u0119sto\u015b\u0107 w dokumentach_ (_inverse document frequency_):\n",
|
|
"\n",
|
|
"$$\\idf_t = \\log \\frac{N}{\\df_t},$$\n",
|
|
"\n",
|
|
"gdzie:\n",
|
|
"\n",
|
|
"* $\\idf_t$ - odwrotna cz\u0119sto\u015b\u0107 wyrazu $t$ w dokumentach\n",
|
|
"\n",
|
|
"* $N$ - liczba dokument\u00f3w w kolekcji\n",
|
|
"\n",
|
|
"* $\\df_f$ - w ilu dokumentach wyst\u0105pi\u0142 wyraz $t$?\n",
|
|
"\n",
|
|
"#### Dlaczego idf?\n",
|
|
"\n",
|
|
"term $t$ wyst\u0105pi\u0142...\n",
|
|
"\n",
|
|
"* w 1 dokumencie, $\\idf_t = \\log N/1 = \\log N$\n",
|
|
"* 2 razy w kolekcji, $\\idf_t = \\log N/2$ lub $\\log N$\n",
|
|
"* w po\u0142owie dokument\u00f3w kolekcji, $\\idf_t = \\log N/(N/2) = \\log 2$\n",
|
|
"* we wszystkich dokumentach, $\\idf_t = \\log N/N = \\log 1 = 0$\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0.22314355131420976"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"idf :: [[Text]] -> Text -> Double\n",
|
|
"idf coll t = log (fromIntegral n / fromIntegral df)\n",
|
|
" where df = Prelude.length $ Prelude.filter (\\d -> t `elem` d) coll\n",
|
|
" n = Prelude.length coll\n",
|
|
" \n",
|
|
"idf collectionDNormalized \"kot\" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 34,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0.9162907318741551"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"idf collectionDNormalized \"chyba\" "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### Co z tego wynika?\n",
|
|
"\n",
|
|
"Zamiast $\\tf_{t,d}$ b\u0119dziemy w wektorach rozpatrywa\u0107 warto\u015bci:\n",
|
|
"\n",
|
|
"$$\\tfidf_{t,d} = \\tf_{t,d} \\times \\idf_{t}$$\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 19,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mie\u0107"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"kot"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0.0,0.0,0.0,2.0,1.0,0.0,0.0,0.0]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[0.0,0.0,0.0,0.44628710262841953,0.5108256237659907,0.0,0.0,0.0]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"vectorizeTfIdf :: Int -> [[Text]] -> Map Int Text -> [Text] -> [Double]\n",
|
|
"vectorizeTfIdf vecSize coll v doc = map (\\i -> count (v ! i) doc * idf coll (v ! i)) [0..(vecSize-1)]\n",
|
|
" where count t doc = fromIntegral $ (Prelude.length . Prelude.filter (== t)) doc\n",
|
|
"\n",
|
|
"vocSize = Set.size voc\n",
|
|
"\n",
|
|
"collectionDNormalized !! 4\n",
|
|
"vectorize vocSize vocD (collectionDNormalized !! 4)\n",
|
|
"vectorizeTf vocSize vocD (collectionDNormalized !! 4)\n",
|
|
"vectorizeTfIdf vocSize collectionDNormalized vocD (collectionDNormalized !! 4)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 36,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[[1.6094379124341003,0.0,0.0,0.22314355131420976,0.5108256237659907,0.0,0.0,0.0],[0.0,0.9162907318741551,0.0,0.22314355131420976,0.0,1.6094379124341003,0.0,0.0],[0.0,0.0,0.9162907318741551,0.22314355131420976,0.5108256237659907,0.0,1.6094379124341003,0.0],[0.0,0.9162907318741551,0.9162907318741551,0.0,0.0,0.0,0.0,1.6094379124341003],[0.0,0.0,0.0,0.44628710262841953,0.5108256237659907,0.0,0.0,0.0]]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"map (vectorizeTfIdf vocSize collectionDNormalized vocD) collectionDNormalized"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Teraz zdefiniujemy _overlap score measure_:\n",
|
|
"\n",
|
|
"$$\\sigma(q,d) = \\sum_{t \\in q} \\tfidf_{t,d}$$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Podobie\u0144stwo kosinusowe\n",
|
|
"\n",
|
|
"_Overlap score measure_ nie jest jedyn\u0105 mo\u017cliw\u0105 metryk\u0105, za pomoc\u0105 kt\u00f3rej mo\u017cemy mierzy\u0107 dopasowanie dokumentu do zapytania. Mo\u017cemy r\u00f3wnie\u017c si\u0119gn\u0105\u0107 po intuicje geometryczne (skoro mamy do czynienia z wektorami).\n",
|
|
"\n",
|
|
"**Pytanie**: Ile wymiar\u00f3w maj\u0105 wektory, na kt\u00f3rych operujemy? Jak \"wygl\u0105daj\u0105\" te wektory? Czy mo\u017cemy wykonywa\u0107 na nich standardowe operacje geometryczne czy te, kt\u00f3re znamy z geometrii liniowej?\n",
|
|
"\n",
|
|
"#### Podobie\u0144stwo mi\u0119dzy dokumentami\n",
|
|
"\n",
|
|
"Zajmijmy si\u0119 teraz poszukiwaniem miary mierz\u0105cej podobie\u0144stwo mi\u0119dzy dokumentami $d_1$ i $d_2$ (czyli poszukujemy sensownej funkcji $\\sigma : D x D \\rightarrow \\mathbb{R}$).\n",
|
|
"\n",
|
|
"**Uwaga** Poj\u0119cia \"miary\" u\u017cywamy nieformalnie, nie spe\u0142nia ona za\u0142o\u017ce\u0144 znanych z teorii miary.\n",
|
|
"\n",
|
|
"Rozpatrzmy zbiorek tekst\u00f3w legend miejskich z <git://gonito.net/polish-urban-legends>.\n",
|
|
"\n",
|
|
"(To autentyczne teksty z Internentu, z j\u0119zykiem potocznym, wulgarnym itd.)\n",
|
|
"\n",
|
|
"```\n",
|
|
" git clone git://gonito.net/polish-urban-legends\n",
|
|
" paste polish-urban-legends/dev-0/expected.tsv polish-urban-legends/dev-0/in.tsv > legendy.txt\n",
|
|
"``` "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 20,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"na_ak"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Opowie\u015b\u0107 prawdziwa... Olsztyn, akademik, 7 pi\u0119tro, […]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import System.IO\n",
|
|
"import Data.List.Split as SP\n",
|
|
"\n",
|
|
"legendsh <- openFile \"legendy.txt\" ReadMode\n",
|
|
"hSetEncoding legendsh utf8\n",
|
|
"contents <- hGetContents legendsh\n",
|
|
"ls = Prelude.lines contents\n",
|
|
"items = map (map pack . SP.splitOn \"\\t\") ls\n",
|
|
"Prelude.head items"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 21,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"87"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"nbOfLegends = Prelude.length items\n",
|
|
"nbOfLegends"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 22,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"na_ak"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"w_lud"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ba_hy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"w_lap"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ne_dz"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"be_wy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"zw_oz"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mo_zu"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"be_wy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ba_hy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mo_zu"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"be_wy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"w_lud"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ne_dz"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ta_ab"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ta_ab"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ta_ab"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"w_lap"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ba_hy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ne_dz"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ba_hy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"tr_su"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ne_dz"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ba_hy"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"mo_zu"
|
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]
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{
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"data": {
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"text/plain": [
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"Ja podejrzewam \u017ce o polowaniu nie by\u0142o mowy, po prostu znalaz\u0142 martwego szczupaka i skorzysta\u0142 z okazji! Mnie mocno zdziwi\u0142a jego si\u0142a \u017ceby taki p\u00f3\u0142 kilogramowy okaz szczupaka przesuwa\u0107 o par\u0119 metr\u00f3w i to w trzcinach! Szacuneczek. Przypomniala mi sie historia kt\u00f3r\u0105 kiedys zaslyszalem o wlascicielce pytona, ktory nagle polozyl sie wzdluz jej \u0142\u00f3\u017cka. Le\u017ca\u0142 tak wyci\u0105gniety jak struna d\u0142u\u017cszy czas jak nie\u017cywy (a by\u0142 d\u0142ugo\u015bci \u0142\u00f3\u017cka), wi\u0119c kobitka zadzonila do weterynarza co ma robi\u0107. Us\u0142ysza\u0142a \u017ce ma szybko zamkn\u0105\u0107 si\u0119 w \u0142azience i poczeka\u0107 na niego bo pyton j\u0105 mierzy jako potencjaln\u0105 ofiar\u0119 (czy mu si\u0119 zmie\u015bci w brzuchu...). Wierzy\u0107, nie wierzy\u0107? Kiedy\u015b nie wierzy\u0142em ale od kilku dni mam w\u0105tpliwosci... Pozdrawiam"
|
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]
|
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},
|
|
"metadata": {},
|
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"output_type": "display_data"
|
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}
|
|
],
|
|
"source": [
|
|
"labelsL = map Prelude.head items\n",
|
|
"labelsL\n",
|
|
"collectionL = map (!!1) items\n",
|
|
"items !! 1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 23,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"348"
|
|
]
|
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},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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}
|
|
],
|
|
"source": [
|
|
"collectionLNormalized = map normalize collectionL\n",
|
|
"voc' = getVocabulary collectionL\n",
|
|
"\n",
|
|
"vocLSize = Prelude.length voc'\n",
|
|
"\n",
|
|
"vocL :: Map Int Text\n",
|
|
"vocL = Map.fromList $ zip [0..] $ Set.toList voc'\n",
|
|
"\n",
|
|
"invvocL :: Map Text Int\n",
|
|
"invvocL = Map.fromList $ zip (Set.toList voc') [0..]\n",
|
|
"\n",
|
|
"vocL ! 0\n",
|
|
"invvocL ! \"chyba\"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Wektoryzujemy ca\u0142\u0105 kolekcj\u0119:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 48,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
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"text/plain": [
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]
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|
},
|
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"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"lVectorized = map (vectorizeTfIdf vocLSize collectionLNormalized vocL) collectionLNormalized\n",
|
|
"lVectorized !! 1"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Szukamy funkcji $sigma$, kt\u00f3ra da wysok\u0105 warto\u015b\u0107 dla tekst\u00f3w dotycz\u0105cych tego samego w\u0105tku legendowego (np. $d_1$ i $d_2$ m\u00f3wi\u0105 o w\u0119\u017cu przymierzaj\u0105cym si\u0119 do zjedzenia swojej w\u0142a\u015bcicielki) i nisk\u0105 dla tekst\u00f3w z r\u00f3\u017cnych w\u0105tk\u00f3w (np. $d_1$ opowiada o w\u0119\u017cu ludojadzie, $d_2$ - ba\u0142wanku na hydrancie)."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Mo\u017ce po prostu odleg\u0142o\u015b\u0107 euklidesowa, skoro to punkty w wielowymiarowej przestrzeni?"
|
|
]
|
|
},
|
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{
|
|
"cell_type": "code",
|
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"execution_count": 25,
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"metadata": {},
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"outputs": [
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"<style>/* Styles used for the Hoogle display in the pager */\n",
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".hoogle-doc {\n",
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".suggestion-warning { \n",
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"font-weight: bold;\n",
|
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"color: rgb(200, 130, 0);\n",
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".suggestion-name {\n",
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"font-weight: bold;\n",
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"}\n",
|
|
"</style><div class=\"suggestion-name\" style=\"clear:both;\">Eta reduce</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">formatNumber x = printf \"% 7.2f\" x</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">formatNumber = printf \"% 7.2f\"</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 5: Eta reduce\n",
|
|
"Found:\n",
|
|
"formatNumber x = printf \"% 7.2f\" x\n",
|
|
"Why not:\n",
|
|
"formatNumber = printf \"% 7.2f\""
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
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},
|
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{
|
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"data": {
|
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"text/plain": [
|
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" 0.00 79.93 78.37 76.57 87.95 81.15 82.77 127.50 124.54 76.42 84.19 78.90 90.90"
|
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]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import Text.Printf\n",
|
|
"import Data.List (take)\n",
|
|
"\n",
|
|
"formatNumber :: Double -> String\n",
|
|
"formatNumber x = printf \"% 7.2f\" x\n",
|
|
"\n",
|
|
"similarTo :: ([Double] -> [Double] -> Double) -> [[Double]] -> Int -> Text\n",
|
|
"similarTo simFun vs ix = pack $ Prelude.unwords $ map (formatNumber . ((vs !! ix) `simFun`)) vs\n",
|
|
"\n",
|
|
"euclDistance :: [Double] -> [Double] -> Double\n",
|
|
"euclDistance v1 v2 = sqrt $ sum $ Prelude.zipWith (\\x1 x2 -> (x1 - x2)**2) v1 v2\n",
|
|
"\n",
|
|
"limit = 13\n",
|
|
"labelsLimited = Data.List.take limit labelsL\n",
|
|
"limitedL = Data.List.take limit lVectorized\n",
|
|
"\n",
|
|
"similarTo euclDistance limitedL 0\n",
|
|
"\n",
|
|
"\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 26,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/html": [
|
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"<style>/* Styles used for the Hoogle display in the pager */\n",
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".hoogle-doc {\n",
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"padding-bottom: 1.3em;\n",
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"padding-left: 0.4em;\n",
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"}\n",
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".hoogle-code {\n",
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".suggestion-name {\n",
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"font-weight: bold;\n",
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"}\n",
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"</style><div class=\"suggestion-name\" style=\"clear:both;\">Move brackets to avoid $</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">\"\\n\"\n",
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|
" <>\n",
|
|
" (Data.Text.unlines\n",
|
|
" $ map (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix)\n",
|
|
" $ zip labels [0 .. (Prelude.length vs - 1)])</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">\"\\n\"\n",
|
|
" <>\n",
|
|
" Data.Text.unlines\n",
|
|
" (map (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix)\n",
|
|
" $ zip labels [0 .. (Prelude.length vs - 1)])</div></div><div class=\"suggestion-name\" style=\"clear:both;\">Use zipWith</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">map (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix)\n",
|
|
" $ zip labels [0 .. (Prelude.length vs - 1)]</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">zipWith\n",
|
|
" (curry (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix))\n",
|
|
" labels [0 .. (Prelude.length vs - 1)]</div></div><div class=\"suggestion-name\" style=\"clear:both;\">Move brackets to avoid $</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">\" \"\n",
|
|
" <> (Data.Text.unwords $ map (\\ l -> pack $ printf \"% 7s\" l) labels)</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">\" \"\n",
|
|
" <> Data.Text.unwords (map (\\ l -> pack $ printf \"% 7s\" l) labels)</div></div><div class=\"suggestion-name\" style=\"clear:both;\">Avoid lambda</div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Found:</div><div class=\"highlight-code\" id=\"haskell\">\\ l -> pack $ printf \"% 7s\" l</div></div><div class=\"suggestion-row\" style=\"float: left;\"><div class=\"suggestion-warning\">Why Not:</div><div class=\"highlight-code\" id=\"haskell\">pack . printf \"% 7s\"</div></div>"
|
|
],
|
|
"text/plain": [
|
|
"Line 2: Move brackets to avoid $\n",
|
|
"Found:\n",
|
|
"\"\\n\"\n",
|
|
" <>\n",
|
|
" (Data.Text.unlines\n",
|
|
" $ map (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix)\n",
|
|
" $ zip labels [0 .. (Prelude.length vs - 1)])\n",
|
|
"Why not:\n",
|
|
"\"\\n\"\n",
|
|
" <>\n",
|
|
" Data.Text.unlines\n",
|
|
" (map (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix)\n",
|
|
" $ zip labels [0 .. (Prelude.length vs - 1)])Line 2: Use zipWith\n",
|
|
"Found:\n",
|
|
"map (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix)\n",
|
|
" $ zip labels [0 .. (Prelude.length vs - 1)]\n",
|
|
"Why not:\n",
|
|
"zipWith\n",
|
|
" (curry (\\ (lab, ix) -> lab <> \" \" <> similarTo simFun vs ix))\n",
|
|
" labels [0 .. (Prelude.length vs - 1)]Line 3: Move brackets to avoid $\n",
|
|
"Found:\n",
|
|
"\" \"\n",
|
|
" <> (Data.Text.unwords $ map (\\ l -> pack $ printf \"% 7s\" l) labels)\n",
|
|
"Why not:\n",
|
|
"\" \"\n",
|
|
" <> Data.Text.unwords (map (\\ l -> pack $ printf \"% 7s\" l) labels)Line 3: Avoid lambda\n",
|
|
"Found:\n",
|
|
"\\ l -> pack $ printf \"% 7s\" l\n",
|
|
"Why not:\n",
|
|
"pack . printf \"% 7s\""
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
" na_ak w_lud ba_hy w_lap ne_dz be_wy zw_oz mo_zu be_wy ba_hy mo_zu be_wy w_lud\n",
|
|
"na_ak 0.00 79.93 78.37 76.57 87.95 81.15 82.77 127.50 124.54 76.42 84.19 78.90 90.90\n",
|
|
"w_lud 79.93 0.00 38.92 34.35 56.48 44.89 47.21 109.24 104.82 35.33 49.88 39.98 60.20\n",
|
|
"ba_hy 78.37 38.92 0.00 30.37 54.23 40.93 43.83 108.15 102.91 27.37 46.95 35.81 58.99\n",
|
|
"w_lap 76.57 34.35 30.37 0.00 51.54 37.46 40.86 107.43 103.22 25.22 43.66 32.10 56.53\n",
|
|
"ne_dz 87.95 56.48 54.23 51.54 0.00 57.98 60.32 113.66 109.59 50.96 62.17 54.84 70.70\n",
|
|
"be_wy 81.15 44.89 40.93 37.46 57.98 0.00 49.55 110.37 100.50 37.77 51.54 37.09 62.92\n",
|
|
"zw_oz 82.77 47.21 43.83 40.86 60.32 49.55 0.00 111.11 107.57 41.02 54.07 45.23 64.65\n",
|
|
"mo_zu 127.50 109.24 108.15 107.43 113.66 110.37 111.11 0.00 139.57 107.38 109.91 108.20 117.07\n",
|
|
"be_wy 124.54 104.82 102.91 103.22 109.59 100.50 107.57 139.57 0.00 102.69 108.32 99.06 113.25\n",
|
|
"ba_hy 76.42 35.33 27.37 25.22 50.96 37.77 41.02 107.38 102.69 0.00 43.83 32.08 56.68\n",
|
|
"mo_zu 84.19 49.88 46.95 43.66 62.17 51.54 54.07 109.91 108.32 43.83 0.00 47.87 66.40\n",
|
|
"be_wy 78.90 39.98 35.81 32.10 54.84 37.09 45.23 108.20 99.06 32.08 47.87 0.00 59.66\n",
|
|
"w_lud 90.90 60.20 58.99 56.53 70.70 62.92 64.65 117.07 113.25 56.68 66.40 59.66 0.00"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"paintMatrix :: ([Double] -> [Double] -> Double) -> [Text] -> [[Double]] -> Text\n",
|
|
"paintMatrix simFun labels vs = header <> \"\\n\" <> (Data.Text.unlines $ map (\\(lab, ix) -> lab <> \" \" <> similarTo simFun vs ix) $ zip labels [0..(Prelude.length vs - 1)])\n",
|
|
" where header = \" \" <> (Data.Text.unwords $ map (\\l -> pack $ printf \"% 7s\" l) labels)\n",
|
|
" \n",
|
|
"paintMatrix euclDistance labelsLimited limitedL"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Problem: za du\u017co zale\u017cy od d\u0142ugo\u015bci tekstu.\n",
|
|
"\n",
|
|
"Rozwi\u0105zanie: znormalizowa\u0107 wektor $v$ do wektora jednostkowego.\n",
|
|
"\n",
|
|
"$$ \\vec{1}(v) = \\frac{v}{|v|} $$\n",
|
|
"\n",
|
|
"Taki wektor ma d\u0142ugo\u015b\u0107 1!"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"1.0"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
" na_ak w_lud ba_hy w_lap ne_dz be_wy zw_oz mo_zu be_wy ba_hy mo_zu be_wy w_lud\n",
|
|
"na_ak 10.00 0.67 0.66 0.66 0.67 0.67 0.67 0.67 0.67 0.67 0.66 0.67 0.67\n",
|
|
"w_lud 0.67 10.00 0.67 0.68 0.67 0.66 0.67 0.67 0.68 0.66 0.67 0.67 0.68\n",
|
|
"ba_hy 0.66 0.67 10.00 0.66 0.67 0.67 0.67 0.67 0.69 0.74 0.66 0.67 0.66\n",
|
|
"w_lap 0.66 0.68 0.66 10.00 0.66 0.66 0.66 0.66 0.67 0.66 0.66 0.66 0.66\n",
|
|
"ne_dz 0.67 0.67 0.67 0.66 10.00 0.67 0.67 0.68 0.69 0.68 0.67 0.67 0.68\n",
|
|
"be_wy 0.67 0.66 0.67 0.66 0.67 10.00 0.66 0.67 0.74 0.66 0.67 0.76 0.66\n",
|
|
"zw_oz 0.67 0.67 0.67 0.66 0.67 0.66 10.00 0.67 0.67 0.66 0.66 0.67 0.67\n",
|
|
"mo_zu 0.67 0.67 0.67 0.66 0.68 0.67 0.67 10.00 0.69 0.67 0.69 0.68 0.67\n",
|
|
"be_wy 0.67 0.68 0.69 0.67 0.69 0.74 0.67 0.69 10.00 0.68 0.67 0.75 0.67\n",
|
|
"ba_hy 0.67 0.66 0.74 0.66 0.68 0.66 0.66 0.67 0.68 10.00 0.66 0.67 0.66\n",
|
|
"mo_zu 0.66 0.67 0.66 0.66 0.67 0.67 0.66 0.69 0.67 0.66 10.00 0.67 0.67\n",
|
|
"be_wy 0.67 0.67 0.67 0.66 0.67 0.76 0.67 0.68 0.75 0.67 0.67 10.00 0.67\n",
|
|
"w_lud 0.67 0.68 0.66 0.66 0.68 0.66 0.67 0.67 0.67 0.66 0.67 0.67 10.00"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"vectorNorm :: [Double] -> Double\n",
|
|
"vectorNorm vs = sqrt $ sum $ map (\\x -> x * x) vs\n",
|
|
"\n",
|
|
"toUnitVector :: [Double] -> [Double]\n",
|
|
"toUnitVector vs = map (/ n) vs\n",
|
|
" where n = vectorNorm vs\n",
|
|
"\n",
|
|
"vectorNorm (toUnitVector [3.0, 4.0])\n",
|
|
"\n",
|
|
"euclDistanceNormalized :: [Double] -> [Double] -> Double\n",
|
|
"euclDistanceNormalized v1 v2 = toUnitVector v1 `euclDistance` toUnitVector v2\n",
|
|
"\n",
|
|
"euclSim v1 v2 = 1 / (d + 0.1)\n",
|
|
" where d = euclDistanceNormalized v1 v2\n",
|
|
"\n",
|
|
"paintMatrix euclSim labelsLimited limitedL"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"#### Podobie\u0144stwo kosinusowe\n",
|
|
"\n",
|
|
"Cz\u0119\u015bciej zamiast odleg\u0142o\u015bci euklidesowej stosuje si\u0119 podobie\u0144stwo kosinusowe, czyli kosinus k\u0105ta mi\u0119dzy wektorami.\n",
|
|
"\n",
|
|
"Wektor dokumentu ($\\vec{V}(d)$) - wektor, kt\u00f3rego sk\u0142adowe odpowiadaj\u0105 wyrazom.\n",
|
|
"\n",
|
|
"$$\\sigma(d_1,d_2) = \\cos\\theta(\\vec{V}(d_1),\\vec{V}(d_2)) = \\frac{\\vec{V}(d_1) \\cdot \\vec{V}(d_2)}{|\\vec{V}(d_1)||\\vec{V}(d_2)|} $$\n",
|
|
"\n",
|
|
"\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Zauwa\u017cmy, \u017ce jest to iloczyn skalarny znormalizowanych wektor\u00f3w!\n",
|
|
"\n",
|
|
"$$\\sigma(d_1,d_2) = \\vec{1}(\\vec{V}(d_1)) \\times \\vec{1}(\\vec{V}(d_2)) $$"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 55,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"1.0"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"(\u2715) :: [Double] -> [Double] -> Double\n",
|
|
"(\u2715) v1 v2 = sum $ Prelude.zipWith (*) v1 v2\n",
|
|
"\n",
|
|
"[2, 1, 0] \u2715 [-2, 5, 10]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 30,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
" na_ak w_lud ba_hy w_lap ne_dz be_wy zw_oz mo_zu be_wy ba_hy mo_zu be_wy w_lud\n",
|
|
"na_ak 1.00 0.02 0.01 0.01 0.03 0.02 0.02 0.04 0.03 0.02 0.01 0.02 0.03\n",
|
|
"w_lud 0.02 1.00 0.02 0.05 0.04 0.01 0.03 0.04 0.06 0.01 0.02 0.03 0.06\n",
|
|
"ba_hy 0.01 0.02 1.00 0.01 0.02 0.03 0.03 0.04 0.08 0.22 0.01 0.04 0.01\n",
|
|
"w_lap 0.01 0.05 0.01 1.00 0.01 0.01 0.00 0.01 0.02 0.00 0.00 0.00 0.00\n",
|
|
"ne_dz 0.03 0.04 0.02 0.01 1.00 0.04 0.03 0.07 0.08 0.06 0.03 0.03 0.05\n",
|
|
"be_wy 0.02 0.01 0.03 0.01 0.04 1.00 0.01 0.03 0.21 0.01 0.02 0.25 0.01\n",
|
|
"zw_oz 0.02 0.03 0.03 0.00 0.03 0.01 1.00 0.04 0.03 0.00 0.01 0.02 0.02\n",
|
|
"mo_zu 0.04 0.04 0.04 0.01 0.07 0.03 0.04 1.00 0.10 0.02 0.09 0.05 0.04\n",
|
|
"be_wy 0.03 0.06 0.08 0.02 0.08 0.21 0.03 0.10 1.00 0.05 0.03 0.24 0.04\n",
|
|
"ba_hy 0.02 0.01 0.22 0.00 0.06 0.01 0.00 0.02 0.05 1.00 0.01 0.02 0.00\n",
|
|
"mo_zu 0.01 0.02 0.01 0.00 0.03 0.02 0.01 0.09 0.03 0.01 1.00 0.01 0.02\n",
|
|
"be_wy 0.02 0.03 0.04 0.00 0.03 0.25 0.02 0.05 0.24 0.02 0.01 1.00 0.02\n",
|
|
"w_lud 0.03 0.06 0.01 0.00 0.05 0.01 0.02 0.04 0.04 0.00 0.02 0.02 1.00"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"cosineSim v1 v2 = toUnitVector v1 \u2715 toUnitVector v2\n",
|
|
"\n",
|
|
"paintMatrix cosineSim labelsLimited limitedL"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 140,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"na tylnym siedzeniu w autobusie siedzi matka z 7-8 letnim synkiem. […]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"collectionL !! 5"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 141,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Kr\u00f3tko zwi\u0119\u017ale i na temat. Zastanawia mnie jak ludzie wychowuj\u0105 dzieci. […]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"collectionL !! 8"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"##### Z powrotem do wyszukiwarek\n",
|
|
"\n",
|
|
"Mo\u017cemy potraktowa\u0107 zapytanie jako bardzo kr\u00f3tki dokument, dokona\u0107 jego wektoryzacji i policzy\u0107 cosinus k\u0105ta mi\u0119dzy zapytaniem a dokumentem."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 56,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"ja za to znam przypadek, \u017ce kole\u017canka mieszkala w bloku par\u0119 lat temu, pewnego razu wchodzi do \u0142azienki w samej bieli\u017anie a tam ogromny w\u0105\u017c na pod\u0142odze i tak si\u0119 wystraszy\u0142a \u017ce wybieg\u0142a z wrzaskiem z mieszkania i wylecia\u0142a przed blok w samej bieli\u017anie i uciek\u0142a do babci swojej, kt\u00f3ra mieszkala gdzie\u015b niedaleko. a potem si\u0119 okaza\u0142o, \u017ce jej s\u0105siad z do\u0142u hodowa\u0142 sobie w\u0119\u017ca i tak w\u0142a\u015bnie swobodnie go \"pasa\u0142\" po mieszkaniu i w\u0105\u017c mu spierdzieli\u0142 przez rur\u0119 w \u0142azience :cool :"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Pewna dziewczyna, wieku mi nieznanego, w mie\u015bcie sto\u0142ecznym - rozwiod\u0142a si\u0119. By\u0142a sama i samotna, wi\u0119c zapragn\u0119\u0142a kupi\u0107 sobie zwierz\u0119, […]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Anakonda. Czy to kolejna miejska legenda? Jaki\u015b czas temu kole\u017canka na jednej z imprez towarzyskich opowiedzia\u0142a mro\u017c\u0105c\u0105 krew w \u017cy\u0142ach histori\u0119 o dziewczynie ze swojej pracy, kt\u00f3ra w Warszawie na dyskotece w Dekadzie pozna\u0142a ch\u0142opaka. […]"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"import Data.Ord\n",
|
|
"import Data.List\n",
|
|
"\n",
|
|
"legendVectorizer = vectorizeTfIdf vocLSize collectionLNormalized vocL . normalize\n",
|
|
"\n",
|
|
"\n",
|
|
"query vs vzer q = map ((collectionL !!) . snd) $ Data.List.take 3 $ sortBy (\\a b -> fst b `compare` fst a) $ zip (map (`cosineSim` qvec) vs) [0..] \n",
|
|
" where qvec = vzer q \n",
|
|
"\n",
|
|
"query lVectorized legendVectorizer \"w\u0105\u017c przymierza si\u0119 do zjedzenia w\u0142a\u015bcicielki\"\n",
|
|
"\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Haskell",
|
|
"language": "haskell",
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"name": "haskell"
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},
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"language_info": {
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"codemirror_mode": "ihaskell",
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"file_extension": ".hs",
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"name": "haskell",
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"pygments_lexer": "Haskell",
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"version": "8.10.4"
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},
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"author": "Filip Grali\u0144ski",
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"email": "filipg@amu.edu.pl",
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"lang": "pl",
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"subtitle": "3.Wyszukiwarki \u2014 TF-IDF[wyk\u0142ad]",
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"title": "Ekstrakcja informacji",
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"year": "2021"
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