Analyzing Product Reviews and Predicting Sentiments using Fuzzy Classifier

Sentiment Analysis become a challenge in promising field like data mining. It analyses sentiment, attitude, emotion and opinion of people who had commented about service or purchased product on different e-commerce sites. Comments or reviews given online consist of information in unstructured, vague manner. Efficient way is needed to analyze and classify such electronic content for predicting sentiments about particular product. For extracting meaningful words pre-processing of unstructured text is important. This paper suggest an enhanced methodology along with preprocessing technique. Method includes analysis of product reviews using ontology and fuzzy classifier.