提取关键词写入文件
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.gitignore
vendored
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.gitignore
vendored
@ -3,3 +3,4 @@ data/news.db
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data/news.json
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data/title.json
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data/cutnews
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data/inversedata
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ml/Cut.pyc
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ml/Cut.pyc
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@ -87,13 +87,19 @@ class InverseIndex:
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#calculate tf-idf
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def CalcTFIDF(self):
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docArray = self.loadDataFromCutFile(100)
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docArray = self.loadDataFromCutFile(10000)
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vectorizer = CountVectorizer()
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transformer = TfidfTransformer()
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tfidf = transformer.fit_transform(vectorizer.fit_transform(docArray))
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print 'done'
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#write index-doc to file
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i = 0
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indexdoc = dict()
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f = open(Global.inverse_dir+'id.txt','wb')
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for name in vectorizer.get_feature_names():
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print name
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i+=1
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indexdoc[i] = name
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f.write(json.dumps(indexdoc))
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#test
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ii = InverseIndex()
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test/test_tool.py
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test/test_tool.py
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@ -0,0 +1,8 @@
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import sys
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sys.path.append("..")
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from tools.show import show
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s = show()
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#s.showcount()
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#s.shownews(1)
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s.showKeyWord()
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@ -3,6 +3,6 @@ title_dir = project_root+"data/title.json"
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content_dir=project_root+"data/news.json"
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db_dir = project_root+"data/news.db"
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stopword_dir=project_root+"data/stopword.txt"
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inverse_dir=project_root+"data/inversedata"
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cutnews_dir=project_root+"data/cutnews"
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inverse_dir=project_root+"data/inversedata/"
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cutnews_dir=project_root+"data/cutnews/"
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filesize = 100
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tools/Global.pyc
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tools/Global.pyc
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@ -36,3 +36,13 @@ class show:
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print "-->",data['time'],data['title'],data['url'],data['content']
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def showKeyWord(self):
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f = open(Global.inverse_dir+'id.txt','r')
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line = f.readline()
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data = json.loads(line)
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print 'load keyword done.'
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print type(data)
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for k in data.keys():
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print k,data[k]
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tools/show.pyc
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tools/show.pyc
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