A Multi-Level Naïve Bayes Classifier for Sentiment Classification

A great demand of sentiment classification comes with the rapid development of the internet. At present, the methods about sentiment classification based on machine learning have been widely used. The sentiment classification is a more difficult task, which needs more in-depth study than the traditional topic-based classification method [1]. Naïve Bayesian classifier is widely used in text classification. However, it requires two basic assumptions as its prerequisite and the performance would have been poor if these two were dissatisfied. We propose a multi-level naïve Bayes classifier to make up the deficiency of the traditional naïve Bayes classifier. The research below shows that the multi-level naïve Bayes classifier gets better performance than the traditional naïve Bayes classifier on the sentiment classification of movie reviews.