This project forked from sheldonresearch/chinese_text_classification
这份工程代码是CSDN博客：《Python中文文本分类》的源代码.
其中，master分支是python3.6
python2.7的代码请到python2.7分支
这里仅仅为里演示代码原理， 因此只方进去原始数据集的一小部分，完成的数据集请到下面的链接里下载：
训练集
http://download.csdn.net/download/github_36326955/9747927
测试集
如果你有任何的问题，请在本项目github主页中的issues栏中提出，或者方位上面的博客地址，在下方评论处发布问题。
step1: corpus_segment.py
step2: corpus2Bunch.py 请自觉创建目录train_word_bag和test_word_bag
step3: TFIDF_space.py
step4:NBayes_Predict.py
如果你觉得很棒棒，也许可以打个赏？ 手机扫一扫：
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