SENTIMENT ANALYSIS OF ONLINE FOOD REVIEWS USING CUSTOMER RATINGS

The growth of web contributes a huge quantity of user created content such as customer feedback, opinions and reviews. Sentiment analysis in web embraces the problem of aggregating data in the web and extraction about opinions. Studying the opinions of customers helps to determine the people feeling about a product and how it is received in the market. Various commercial tools are available for sentiment analysis. In this paper, we propose a system which classifies the reviews on a scale of 1 to 5 based on the sentiments in the words. The groups of words used to make a decision to rate the reviews are displayed as word cloud.