The term review mining and opinion mining is gaining its interest with the expanded use of web. Whatever user buys or read or sees on the web, he likes to write his opinion about it or read others reviews to get needed information. Such websites also enforce users to write their reviews about the topic or product. It is common to express the opinion about the products by the user on websites of the products. It is of interest of both the company and the users as these are source of getting feedback and suggestions. Various schemes are proposed in literature to extract useful information from these reviews. Most important step in opinion mining is extraction of opinion and target words. Target depicts about what opinion is given and opinion words are the words used to express the opinion about target. Different techniques are developed so far, for efficient and accurate extraction of target and opinion words. Due to importance of opinions of the product by other users in decision making of user, number of fake reviews is increased. We proposed system to detect and remove fake comments before extraction process which classifies fakes comments and extracts opinion, target words only from genuine comments.

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Opinion Mining Opinion Targets Extraction Opinion Words Extraction.