Customer Sentiment Classification and Rating System based on Product Reviews

The advent of social media and ecommerce has brought the era of a new age business and its customer base is growing exponentially every year. Social media has revolutionized the new-age customer’s decision making through the myriads of sources available to them like online feedback or reviews, forum discussions, blogs and Twitter on the web. Social media has revolutionized the new-age customer’s decision making through the myriads of sources available to them like online feedback or reviews, forum discussions, blogs and Twitter on the web. This paper focuses on extracting the features from product reviews taken from amazon.com orebay.in sites given by reviewers to state their opinions. This is done at aspect level of analysis using ontology. Then it determines whether they are positive or negative thereby giving a scaling system to identify the effectiveness of a product. The scaling system can be in the form of a star rating system. Output of such analysis is then summarized. The results generated by proposed methodology will be compared to the base research by Arindam Chaudhury et.al in [7].