• SRINATH K
• Mrs. V. BAKYALAKSHMI

Abstarct: The current advancements are rapidly changing the entire planet. With the Web being used in every aspect of life, the Internet has become a basic essential for everyone in field. People are adopting social network platforms to communicate their thoughts about everyday issues as a result of the social network industry's fast growth. It is important to collect and evaluate consumer feedback on products, services, and other topics. The goal of sentiment analysis, also known as opinion mining, is to identify the emotions that underlie opinions in texts on a variety of topics. In recent years, sentiment analysis academics have focused on examining attitudes on a variety of subjects, including movies, consumer goods, and everyday societal concerns. Customers may express their ideas on Twitter, an incredibly popular microblog. During the last 10 years, there has been a lot of interest in the subject of opinion study of Twitter data, which entails analysing "tweets" (comments) and the substance of these expressions. As a result, this article examines the results of several sentiment analyses performed on Twitter data.

"A STUDY ON SENTIMENT ANALYSIS ON TWITTER DATA USING NAIVEBAIYES AND SUPPORT VECTOR MACHINE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.d275-d281, April-2023, Available :http://www.jetir.org/papers/JETIR2304342.pdf

"A STUDY ON SENTIMENT ANALYSIS ON TWITTER DATA USING NAIVEBAIYES AND SUPPORT VECTOR MACHINE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppd275-d281, April-2023, Available at : http://www.jetir.org/papers/JETIR2304342.pdf