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.
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