{
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  {
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   "metadata": {},
   "source": [
    "![Logo 1](https://git.wmi.amu.edu.pl/AITech/Szablon/raw/branch/master/Logotyp_AITech1.jpg)\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "<h1> Ekstrakcja informacji </h1>\n",
    "<h2> 3. <i>tfidf (1)</i>  [ćwiczenia]</h2> \n",
    "<h3> Jakub Pokrywka (2021)</h3>\n",
    "</div>\n",
    "\n",
    "![Logo 2](https://git.wmi.amu.edu.pl/AITech/Szablon/raw/branch/master/Logotyp_AITech2.jpg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def word_to_index(word):\n",
    "    vec = np.zeros(len(vocabulary))\n",
    "    if word in vocabulary:\n",
    "        idx = vocabulary.index(word)\n",
    "        vec[idx] = 1\n",
    "    else:\n",
    "        vec[-1] = 1\n",
    "    return vec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tf(document):\n",
    "    document_vector = None\n",
    "    for word in document:\n",
    "        if document_vector is None:\n",
    "            document_vector = word_to_index(word)\n",
    "        else:\n",
    "            document_vector += word_to_index(word)\n",
    "    return document_vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def similarity(query, document):\n",
    "    numerator = np.sum(query * document)\n",
    "    denominator = np.sqrt(np.sum(query*query)) * np.sqrt(np.sum(document*document)) \n",
    "    return numerator / denominator"
   ]
  }
 ],
 "metadata": {
  "author": "Jakub Pokrywka",
  "email": "kubapok@wmi.amu.edu.pl",
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  "subtitle": "3.tfidf (1)[ćwiczenia]",
  "title": "Ekstrakcja informacji",
  "year": "2021"
 },
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}