In digital world, there is a drastic increase of the websites that encouraged users to give their reviews on products, services, policies. This task of different data gathering and analysis of review is known as Opinion Mining. It analyses the text written in a natural language and classify them as positive or negative based on the human’s sentiments, emotions, opinions expressed on any product. Nowadays user reviews and comments are very important for further evaluating and making decision for new products or policies. This gave the chance to spammers to spread malicious reviews with a target to misguide users. Spam is the unwanted similar content flooded on the internet. There is a need to detect spam efficiently. This work focused on training words and finding out whether further sentences are spam or not spam to improve accuracy. This paper discuss and implements naive bayes classifier to detect spam reviews.

Opinion mining, naive bayes, spam

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