Feature based approach for review mining using appraisal words

Due to the high increment in the usage of internet nowadays e-commerce is getting very popular. The online shopping is becoming more convenient and prominent. As well as the number of online consumer reviews are increasing very fast. It is a challenge for the organizations and consumers to go through these reviews for the decision making process. Mining the necessary information from these reviews is beneficial to consumers and organizations. Sentiment mining can be very helpful for customer relation management, marketing and identifying the opinion and popularity of the product. In this paper we present a novel framework for review classification using sentiment analysis. The framework uses appraisal words lexicon and product feature extraction for review categorization.