Classification of Movie Reviews Using Complemented Naive Bayesian Classifier
نویسندگان
چکیده
منابع مشابه
Sentiment Classification of Movie Reviews
The goal of sentiment classification is to determine whether or not an author likes what he is writing about . In this paper, we explore various ways to improve upon current techniques involving subjectivity filters and information gain based feature selection. We conclude that the subjectivity filter is useful in certain cases, but needs to be explored further.
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We present two methods for determining the sentiment expressed by a movie review. The semantic orientation of a review can be positive, negative, or neutral. We examine the effect of valence shifters on classifying the reviews. We examine three types of valence shifters: negations, intensifiers and diminishers. Negations are used to reverse the semantic polarity of a particular term, while inte...
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the area of sentiment mining (also called sentiment extraction, opinion mining, opinion extraction, sentiment analysis, etc.) has seen a large increase in academic interest in the last few years. Researchers in the areas of natural language processing, data mining, machine learning, and others have tested a variety of methods of automating the sentiment analysis process. In this research work, ...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Computing Research
سال: 2011
ISSN: 2042-4655
DOI: 10.20533/ijicr.2042.4655.2011.0019