AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试
这是我参加AI100竞赛：http://competition.ai100.com.cn/html/game_det.html?id=24&tab=1 的代码，主要用于文本分类，其中涉及CHI选择特征词，TFIDF计算权重，朴素贝叶斯、决策树、SVM、XGBoost等算法， 实现传统的文本分类并取得了不错的效果。
此外，还是用cnn卷积神经网络实现了中文的文本分类，效果要优于上述算法。
最后，还可以参考第一名的卷积神经网络模型：https://github.com/liu-nlper/DocumentClassification。
可以参考我的博客：http://blog.csdn.net/liuchonge/article/details/72614524
train.py
DuplicateFlagError: The flag 'positive_data_file' is defined twice. First from
C:/text_classification_AI100-master/cnn/eval.py,
Second from C://text_classification_AI100-master/cnn/train.py. Description from first occurrence: Data source for the positive data.
博主您好，该项目支持同一段文字归类到多个分类吗？
^ 是异或运算 ，应该是平方pow()吧
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