• Sapna Manjhi
• M.A. Rizvi

Under the current innovations, the whole world is rapidly changing. Through the Web being used in each and every industry, Internet has become a fundamental need for every person. People are increasingly turning to social networking sites to air their views on current events and other topics of interest, thanks to the fast growth of these apps. Analysis of people's responses to a product, a public service and so on is crucial. A common conversation preparation activity is opinon mining or sentiment analysis, its objective is to determine sentiment behind viewpoints expressed in diverse texts. Sentiment analysis is essentially the same as analysing people's emotions. Sentiment analysis researchers have lately been looking into how people feel about anything from movies to commercial products to daily societal issues. Customers may post their opinions on Twitter, a popular microblog. When it comes to "tweets" (comments), opinion research on Twitter has been an increasingly popular area over the last decade. In this paper, we focus on analysis of public reviews and data on twitter’s tweets on #Squidgame by machine learning model. Performance measurement and evaluation is done by using confusion matrix and by comparing with existing algorithm.

Sentiment Analysis, Machine Learning, Opinion Mining.

"Sentiment Analysis Of Movie Review On Twitter Data Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.j251-j258, June-2022, Available :http://www.jetir.org/papers/JETIR2206932.pdf

"Sentiment Analysis Of Movie Review On Twitter Data Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppj251-j258, June-2022, Available at : http://www.jetir.org/papers/JETIR2206932.pdf