chinese_text_classifier

运用流程：

1、先分词 segmentWord.py

2、得到词典 getDictinary.py

3、得到分词后语料 getCorpus.py

4、得到文档模型 getWordModel.py

5、然后word2vec w2vDemo.py

6、词云 worldCloudDemo.py

6、聚类 txtClusterDemo.py、txtClusterKmeansDemo.py

7、分类 svmClassify.py

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
MyCorpus.mm		MyCorpus.mm
MyCorpus.mm.index		MyCorpus.mm.index
README.md		README.md
TestGensimCorpus.py		TestGensimCorpus.py
alice_color.png		alice_color.png
doc2vec.model		doc2vec.model
doc2vecDemo.py		doc2vecDemo.py
gensimCorpusTest.py		gensimCorpusTest.py
getCorpus.py		getCorpus.py
getDictinary.py		getDictinary.py
getWordModel.py		getWordModel.py
girl_colored.png		girl_colored.png
index2File.txt		index2File.txt
label2Name.txt		label2Name.txt
love.jpg		love.jpg
segmentWord.py		segmentWord.py
shade.jpg		shade.jpg
stopWords.txt		stopWords.txt
svmClassify.py		svmClassify.py
svmTxt.pkl		svmTxt.pkl
tempStopWords.txt		tempStopWords.txt
test.log		test.log
tfidf.model		tfidf.model
tt.py		tt.py
txtClassifyDemo.py		txtClassifyDemo.py
txtClusterDemo.py		txtClusterDemo.py
txtClusterKmeansDemo.py		txtClusterKmeansDemo.py
user_dict.txt		user_dict.txt
w2vDemo.py		w2vDemo.py
word2vec.model		word2vec.model
word2vec.model.syn1neg.npy		word2vec.model.syn1neg.npy
word2vec.model.wv.syn0.npy		word2vec.model.wv.syn0.npy
worldCloudDemo.py		worldCloudDemo.py
停用词_精简.txt		停用词_精简.txt
停用词全.txt		停用词全.txt
字典.txt		字典.txt
说明.txt		说明.txt

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