期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：7-4
出版社：Seventh Sense Research Group
摘要：Sentiment classification and feature based summarization are essential steps involved with the classification and summarization of movie reviews. The movie review classification is based on sentiment classification and condensed descriptions of movie reviews are generated from the feature based summarization. Experiments are conducted to identify the best machine learning based sentiment classification approach. Latent Semantic Analysis and Latent Dirichlet Allocation were compared to identify features which in turn affects the summary size. The focus of the system design is on classification accuracy and system response time.
关键词：LSA; PLSA; LDA; Naive Bayes; Maximum Entropy; SVM
