DUAL SENTIMENTAL ANALYSIS OF USER COMMENTS IN ONLINE REVIEW SYSTEM

Abstract

Sentimental analysis plays a major role nowadays because many start-ups have been emerged based on user
driven content. Many product-based organizations like Zomato, tripadvisor, makemytrip, trip factory, flipkart,
amazon is basically user opinion based online agents rendering services to consumers. The proposed method
helps to convert speech review into text, based on speech recognition module. The user reviews stored in cloud
for audit purpose. Once the audit is performed the reviews are posted in the respective applications. In this user
driven reviews about a product is taken into sentimental analysis to get positive, negative and neutral words.
This would make the consumer come to a decision in a fraction of a second rather than going through n number
of reviews, thus tremendously saving time.