Product Reviews on Opinion Mining using NLP Techniques

Abstract

Opinion mining is a natural language processing (NLP) based automated text analysis to identify emotions and opinions (positive and negative comments) present in a text. Opinion mining is the technique used for automatically gathering knowledge from different user opinions on a certain topic or situation. The amount of data available on the internet is growing at a high rate. Every day, social media generates a massive quantity of data, such as reviews, comments, and customer feedback. This huge volume of user-generated data is unintelligible unless specific mining techniques are applied to it. Since there are so many fake reviews, there is a need for the opinion mining approach to integrate a spam detection module to deliver a legitimate opinion. People nowadays rely on social media opinions to decide whichever products or services to purchase. Since there are numerous bogus or fraudulent reviews issued by organizations or individuals for a number of reasons, spam detection will emerge as a complex and time-consuming task. The proposed system includes ontology, geolocation and IP address monitoring, a lexicon of spam phrases using naive bayes, comment detection, and account tracking.