Abstract
AbstractMany websites sell products and customers buy these products. Customers give their rating to the products they bought from these websites which helps genuine rating of the products. But some websites for fame and profit give fake reviews so it is hard for a customer to know which product is genuine. So, because of this, we detect fake reviews and genuine reviews using sentimental analysis and here we calculate the sentimental score and remove negative words in order to detect fake and genuine reviews. After detecting fake and genuine reviews using with stop words and without stop words, we find the accurate algorithm to find these fake and genuine reviews and calculate the accuracy here. Later, we choose the best accurate algorithm. We plot the visualization graphs for fake and genuine reviews.KeywordsSentiment analysisNaive bayesK Nearest neighborDecision treeSupport vector machine
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