Abstract
Abstract: In the current scenario, the data on the web is growing to a larger extent. Social Media is generating a large amount of data such as reviews, comments and customer’s opinions on a daily basis. This huge amount of user generated data is worthless unless some miningt e c h n i q u e s are applied to it. Nowadays, there are several people using social media reviews to order anything through online. Online spam detection is one of the herculean problems since there are many faux or fake reviews that are created by organizations or by the people themselvesfor various purposes. Such organizations tend to write fake reviews to mislead readersor automated detection systems by promoting or demoting the targeted productservices. Fake reviews detection has recentlybecome a limelight that’s capturing attention. Fake reviews are generated intentionally to mislead readers to believe false data that makes it tough and non-trivialto discover supported content. Hence, it is highly necessary to create a monitoring system which thoroughly checks for fake reviews among various product websites andremoves them promptly.
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