66 lines
2.3 KiB
Python
Executable File
66 lines
2.3 KiB
Python
Executable File
#!/usr/bin/python3
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import re, sys, nltk
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from nltk.tokenize import TweetTokenizer
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from nltk.corpus import stopwords
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from string import punctuation
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def clear_post(post):
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post = post.replace('\\n', ' ')
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post = re.sub(r'[\.\,\/\~]+', ' ', post)
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post = re.sub(r'(<|>|\@[a-zA-Z0-9]+)','',post)
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post = re.sub(r'[\'\(\)\?\*\"\`\;0-9\[\]\:\%\|\–\”\!\=\^]+', '', post)
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post = re.sub(r'( \- |\-\-+)', ' ', post)
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post = re.sub(r' +', ' ', post)
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post = post.rstrip(' ')
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return post
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def create_dict(in_file, expected_file):
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posts = {}
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tt = TweetTokenizer(preserve_case = False)
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stoplist = set(stopwords.words('english') + list(punctuation))
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counter = 0
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with open(in_file) as in_f, open(expected_file) as exp_f:
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for line, exp in zip(in_f, exp_f):
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line = line.rstrip('\n').split("\t")[0]
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exp = exp.rstrip("\n")
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line = re.sub(r'(\(|)(http|https|www)[a-zA-Z0-9\.\:\/\_\=\&\;\?\+\-\%]+(\)|)', ' internetlink ', line)
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line = line.replace("|", "")
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line = line.replace(":", "")
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post = line
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#post = clear_post(line)
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tokenized_line = [token for token in tt.tokenize(post) if token not in stoplist]
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bigrams = nltk.bigrams(tokenized_line)
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if exp == "d":
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ex_val = ""
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else:
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ex_val = int(exp)
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if ex_val == 0:
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ex_val = -1
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counter+=1
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big_merged = [i[0] +"_" + i[1] for i in list(bigrams)]
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posts[counter] = [ex_val, " ".join(tokenized_line), " ".join(big_merged)]
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# TODO
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# Można stworzyc tutaj juz bigramy
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return posts
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def create_file(posts):
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for c, v in posts.items():
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exp = v[0]
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post = v[1]
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big = v[2]
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#print(exp, "|", post)
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print(exp, "|words", post, "|bigrams", big)
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def main():
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if len(sys.argv) != 3:
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print("Synthax is ./prepare_data.py in_file expected_file")
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return
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in_file = str(sys.argv[1])
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expected_file = str(sys.argv[2])
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posts = create_dict(in_file, expected_file)
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create_file(posts)
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main()
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# --passes 18 -b 16 --random_seed 123456789 --link logistic --loss_function logistic -k cashe_file vw-meta-cashe
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