Abstract

In order to evaluate people's behavior and activities, information collecting has become essential. Online learning is done through sharing and exchanging ideas on the Internet. On social networking sites like Twitter, Facebook, Google+, Yahoo, and MSN, opinions are shared. Over the past 20 years, the development of Internet-based technology has led to considerable modifications to the Indian stock market. Many data mining approaches are used to manage changes in the SM. It is considered that financial news headlines have an impact on stock trend prices returning. For managing predictions related to SM, machine learning may provide an approach that is more dependable and precise. Opinion mining, also known as sentiment analysis, is a method for locating and obtaining subjective data from text by examining the opinions, assessments, sentiments, attitudes, and emotions of users. In this study, it was important to use sentiment analysis while predicting stock price using stock market indicators like Tesla, BTC, and GME. Finally, we offer some recommendations for future research and make some conclusions