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 mining t 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 themselves for various purposes. Such organizations tend to write fake reviews to mislead readers or automated detection systems by promoting or demoting the targeted product services. Fake reviews detection has recently become a limelight that’s capturing attention. Fake reviews are generated intentionally to mislead readers to believe false data thatmakes it tough and non-trivial to discover supported content. Hence, it is highly necessary to create a monitoring system which thoroughly checks for fake reviews among various product websites and removes them promptly. Keywords: Fake reviews, spam detection, opinion mining.
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