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Text classification has always been an important and practical issue so that we need to use the computer to classify and discover the information in the text. If we want to recognize the offending words in a text without human intervention, we should use this. In this article we will compare recurrent neural networks, convolutional neural networks and hierarchical attention networks with detailed...
Naive Bayes (NB) estimator is widely-used in text classification problems. However, it does not perform well with small-size training datasets. Most previous literature focuses on either creating and modifying features or combing clustering to improve the performance of NB. We directly tackle the problem by constructing a new estimator, called Naive Bayes with correlation factor. We introduce a correlation...
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