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With Internet becoming a base for exchanging ideas, customer reviews for a product grows rapidly in various user groups. For popular products the reviews found in the Internet could be in thousands which makes it difficult to track and understand customer opinions. Similarly the manufacturer of a product or service provider finds it difficult to analyze the market pulse. Opinion mining is an emerging area of research which summarizes the customer reviews of a product or service and express whether the opinions are positive or negative. Various methods have been proposed as classifiers for opinion mining. Naive Bayesian, Nearest Neighbor techniques, Support vector machine and Decision tree induction has been extensively studied with various modifications.
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