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75 lines
2.3 KiB
75 lines
2.3 KiB
import sys, os
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from nltk import sent_tokenize, word_tokenize
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from nltk import everygrams
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from nltk import FreqDist
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import json
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import re
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"""
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PART 1
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We create the dictionary and save it.
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"""
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stopws = [",", ".", "?","!",":","(",")",">","<","@","#","``","/","–","''","‘","-","’", "DOCTYPE", "html", "!", "'", "<br>", "<br />", "/body", "/html", "/head", "h2", "/h2", "h1", "/h1","”","“"]
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path = "static/files/"
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for path, subdirs, files in os.walk(path):
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for name in files:
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if name.endswith('html'):
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file = os.path.join(path, name)
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total = open("allhtml.txt", "a")
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with open(file, 'r+') as f:
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content = f.read()
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total.write(content)
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total.close()
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keyword_list = []
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with open('allhtml.txt') as f:
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content = f.read()
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tokens = word_tokenize(content)
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tokens = [token for token in tokens if token not in stopws]
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keyword_list = list(set(tokens))
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# print(tokens)
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# print(keyword_list)
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"""
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PART 2
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We iterate through the entire collection of html files, tokenize the words, and check to see whether any of them is in the keyword_list. If they are, then we generate a json file.
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"""
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# wordlist = {}
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# avoiding_repetition = []
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sentences_w_word = {}
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def analysis(the_word, file_name):
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id = file_name[13:15]
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with open(file_name, 'r+') as f:
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content = f.read()
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sent_tokens = sent_tokenize(content)
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new_sent_tokens = []
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for sent_token in sent_tokens:
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if the_word in sent_token:
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new_sent_tokens.append({'id': id, 'sentence': sent_token.replace('\n', ' ').strip("'<>()“”")})
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if the_word in sentences_w_word: # if this is not the first iteration
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previous_sent_tokens = sentences_w_word[the_word]
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full_sent_tokens = previous_sent_tokens + new_sent_tokens
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else:
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full_sent_tokens = new_sent_tokens
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sentences_w_word[the_word] = full_sent_tokens
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# maybe ISO-8859-1 instead of utf8??
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path = "static/files/"
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for path, subdirs, files in os.walk(path):
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for name in files:
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if name.endswith('html'):
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file = os.path.join(path, name)
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for word in keyword_list:
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analysis(word, file)
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with open('wordlist.json', 'w') as outfile:
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json.dump(sentences_w_word, outfile, ensure_ascii=False)
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