SENTIMENT ANALYSIS ON PRODUCT RATING BASED ON TEXT MINING

Abstract

The objective ofthis project is to perform the sentiment analysis on the product rating of an e-commerce website based on text mining. The users will post the comments/ reviews and the products will be rated based on their comments. The -sentiment analysis plays an important role in the business domain because it is important to have the idea about what the users or customers think about a particular product they are using. Sentiment analysis helps in decision making for the organizations involved in business and e-commerce. The main idea for this project is to use an easy approach for the sentiment analysis using python. We integrated php and python for this purpose and used the lexicon-based approach in our project to sentiment analysis. We have used the Valence Aware dictionary and the sentiment Reasoner, a tool that is a Rule based sentiment analysis tool.