Opinion Mining and Sentiment Analysis Based On Natural Language Processing

Abstract

In marketing and advertising domains Opinion Mining is being larger domain. Advertiser as well as customer needs to analyze performance and popularity of product. Till now Star rating based mechanism is being used to analyze the performance and popularity of the product. The star rating mechanism uses the number of star ratings obtained by the product which may go fraud because of robots or automatic responders. So, the system needs to be analyzed using comments natural language processing. The proposed system collects the comments written by the customer about the product relevant with respect to opinion mining and by using Naive Bayes algorithm the popularity of the product is analyzed. False positive and false negative comments can be removed by using irrelevant comment removal mechanism. This system presents basic definitions used in opinion mining area which is based on natural language processing. The results obtained using the proposed system are so accurate and soundly support and overcome the problems in the existing system. The system can be used the by any online marketing website as well as in any field where the feedback from the customers can be collected.
DOI: 10.17762/ijritcc2321-8169.150730