Buying and selling the goods and services through internet called as electronic network known to be E-commerce. Due to the convenience of e-commerce, the number of users are increased. Meanwhile, the people review of product also increased. In e-commerce websites, fake review is often the major problem. Nowadays, it is known to be common that user can write the review for their purchased product. There are many ways that user can write reviews. Using this opportunity, there is a possibility that spammers can leave fake review. Many users determine the quality of product based on user’s reviews. So, the fake review creates lot of problems on product quality, sales, and economic growth. To tackle this problem, we are going to use Naive Bayesian classifier which is very simple and easy technique to classify the product review. Feature extraction can be used to extract the feature .Here we are using dataset for classifying the product reviews. Here our aim is to find fake reviews. By detecting fake reviews the accuracy of e-commerce system can be improved. © IAEME Publication.