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The numbers are identical!
http://guoze.me/2014/09/25/libshorttext-introduction/
scikit-learn(nb) 76.8% 134 scikit-learn(svm) 76.9% 121 libshorttext 79.6% 49
Classifier Accuracy Time cost(s) scikit-learn(nb) 76.8% 134 scikit-learn(svm) 76.9% 121 TextGrocery 79.6% 49
The text was updated successfully, but these errors were encountered:
Yes it's based on libShortText, and added library jieba for chinese tokenize.
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The numbers are identical!
http://guoze.me/2014/09/25/libshorttext-introduction/
scikit-learn(nb) 76.8% 134
scikit-learn(svm) 76.9% 121
libshorttext 79.6% 49
Classifier Accuracy Time cost(s)
scikit-learn(nb) 76.8% 134
scikit-learn(svm) 76.9% 121
TextGrocery 79.6% 49
The text was updated successfully, but these errors were encountered: