A Study on Sentiment Analysis in Social Networking Sites: A Critical Review

Abstract

In Recent years, the Digital world dominating the human lives in all the circumstances of their day-to-day life. One of the most prominent technology backs the social networks is the Natural Language Processing. In this Morphological domain, the Competent Sentimental analysis is of high claim in many applications’ platform for accurate and predictive classification.  Sentiment analysis is the process of mathematical calculation of opinions, sentiments, and subject of the sentence.  The research is concentrating to study the public opinion for product reviews to get the hidden info. The investigation of sentiment on social media like Twitter or Facebook has become a potent means for knowing about the consumers opinions and has an extensive array of applications. Recently, it has revealed that Machine-learning models are a promising solution to the challenges of NLP.