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In this study, we design and develop an agent based framework for sentiment classification of online reviews using ontology. The book review ranking is based on the sentiment classification result. We propose a novel approach with the help of the JADE platform to solve problems by non-visual automatic sentiment classification. The description of book r eviews ranking are generated from the ontology base d mapping. This approach employs the data extraction agent which is used to retrieve the books comments i.e., the user reviews from the specified blogs. Th e Second agent is the recommendation agent i.e., do main ontology is used for identifying domain related fea tures in comments. The Third agent is feature selec tion agent in which XML document content is split into s ingle sentence. Each word in the sentence is mapped with ontology. A Mapping process is used for identi fying the domain related sentences in that context. These processes are used for ranking the book resul ts based on customer reviews. The book review ranki ng system can be extended to other product-review easi ly.

AN AGENT BASED FRAMEWORK FOR SENTIMENT CLASSIFICATION OF ONLINE REVIEWS USING ONTOLOGY