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为关键字提取函数增加词性过滤功能
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@ -1,5 +1,6 @@
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#encoding=utf-8
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#encoding=utf-8
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import jieba
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import jieba
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import jieba.posseg
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import os
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import os
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from operator import itemgetter
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from operator import itemgetter
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try:
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try:
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@ -58,21 +59,31 @@ def set_stop_words(stop_words_path):
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for line in lines:
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for line in lines:
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STOP_WORDS.add(line)
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STOP_WORDS.add(line)
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def extract_tags(sentence, topK=20, withWeight=False):
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def extract_tags(sentence, topK=20, withWeight=False, allowPOS=[]):
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"""
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"""
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Extract keywords from sentence using TF-IDF algorithm.
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Extract keywords from sentence using TF-IDF algorithm.
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Parameter:
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Parameter:
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- topK: return how many top keywords. `None` for all possible words.
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- topK: return how many top keywords. `None` for all possible words.
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- withWeight: if True, return a list of (word, weight);
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- withWeight: if True, return a list of (word, weight);
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if False, return a list of words.
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if False, return a list of words.
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- allowPOS: the allowed POS list eg. ['n'].
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if the POS of w is not in this list,it will be filtered.
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"""
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"""
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global STOP_WORDS, idf_loader
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global STOP_WORDS, idf_loader
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idf_freq, median_idf = idf_loader.get_idf()
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idf_freq, median_idf = idf_loader.get_idf()
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if allowPOS:
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words = jieba.posseg.cut(sentence)
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else:
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words = jieba.cut(sentence)
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words = jieba.cut(sentence)
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freq = {}
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freq = {}
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for w in words:
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for w in words:
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if allowPOS:
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if w.flag not in allowPOS:
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continue
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else:
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w = w.word
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if len(w.strip()) < 2 or w.lower() in STOP_WORDS:
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if len(w.strip()) < 2 or w.lower() in STOP_WORDS:
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continue
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continue
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freq[w] = freq.get(w, 0.0) + 1.0
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freq[w] = freq.get(w, 0.0) + 1.0
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