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Title: Performance Evaluation and Experiment with Data-Driven Techniques to Sentiment Classification of Movie Review

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Title:
Performance Evaluation and Experiment with Data-Driven Techniques to Sentiment Classification of Movie Review
Author Name:
Manikandan P, Jovitha Jerome
Abstract:
With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of users opinions, views, feedback and suggestions available through the web resources, its very much essential to explore, analyze and organize their views for better decision making. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the users views or opinions explained in the form of positive, negative or neutral comments and quotes underlying the text. In this paper, we evaluate the performance of both Support Vector Machine and Naive Bayes classifiers. Our results show that it is possible to maintain state-of-the art classification accuracy while using less number of the features through Receiver operating characteristic curves and accuracy measures.
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