In the file NLP-quora classification, explored text analysis and machine learning methods (merged NaiveBayes+Logistic regression) to get a comparable results with the state of art deep leanring technique;
In the file DL-quora, used word-embedding and LSTM to train the model.
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use machine learning to get a comparable results with the state of art deep leanring technique;
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