• D.SAI TVARITHA
• NITHYA SHREE J
• SAAKSHI NS SURYA PRAKASH S
• SIYONA RATHEESH, SHIMIL SHIJO

This generation completely depends on the text opinions and ideologies of the viewers for which they invest a lot of time on various social media platforms such as Instagram, Twitter, and Facebook to share their thoughts and get opinions on the same. This method of sharing their knowledge and emotions with society and social media drives businesses to gather more information about their companies, products, feedback and how well known they are among the people allowing them to make more important business decisions. Social media is a platform in which an abundance of data is generated from various resources which can partially be understood or not. This has made way for technology that helps in language processing of data making it user friendly. Here we emphasize text representation, as emotions that play a vital role as a response to a shared post. Social media data helps individuals and businesses to take decisions based on rigorous data analysis. Massive amounts of data are generated by users in the forms of opinions, reviews, emotions, arguments, viewpoints, and so on about various social events, products, brands and politics, movies, and so on. The importance of Twitter sentiment analysis in discovering similar text patterns in the given input text cannot be overstated. Furthermore, this classification results in positive, negative, and neutral evaluations. Also, different approaches to perform sentiment analysis like Machine Learning, Lexicon-based, Naive Bayes algorithm and deep learning techniques are discussed here.

Natural language processing, Naive Bayes Algorithm, Machine Learning, Deep Learning.

"A REVIEW ON SENTIMENT ANALYSIS APPLICATIONS AND APPROACHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.186-193, June-2022, Available :http://www.jetir.org/papers/JETIRFM06034.pdf

"A REVIEW ON SENTIMENT ANALYSIS APPLICATIONS AND APPROACHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp186-193, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06034.pdf