NBSVM is a novel baseline model for text classification problem which outperforms both NB (Naive Bayes) and SVM (Support Vector Machine) in datasets with different sizes/features. This idea is originated from <Baselines and Bigrams Simple, Good Sentiment and Topic Classification> and the author offered the code in Matlab. Here is the implementation in Python code.
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NBSVM For Text Classification
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