Design and Development of Hybrid NLP Model for Sentiment Analysis of Social Media Data

Abstract

Sentiment analysis is referred as a opinion mining process in natural language processing method, To newlineexamine whether the data is negative, positive or neutral. To help business, sentimental analysis acts on newlinetextual data by monitoring product sentiment in customer feedback. Towards an opinion target Aspect newlinelevel sentimental classification determine the sentiment polarity of a review sentence. A Sentence newlineconsists of various sentiment target pairs, in this task the challenge is to part different opinion for newlinedifferent target. The ABSA is widely utilized in monitoring social media, management of customer newlinesupport, analysis of the product, researching the competitive market, and so on. Several methods are newlinedevised using neural networks for the ABSA for the above-mentioned application domains, still, the newlineaccuracy of detection is a difficult task, which motivates to development of an ABSA by reviewing the newlinerelated literature to fulfill the drawback with a novel technique.