• TEJASWINI K J
• SWATHI T
• M N PRIYANKA
• YASHASWINI
• RAGHAVENDRA B

As many people are interested in betting on stock prices and people, the research and prediction of stock values using big data, including artificial intelligence, is now being explored. We performed sentiment analysis in this study by stacking and comparing emotional dictionaries to news items utilizing deep learning models. We can determine the optimistic index value of news stories for each day using the emotional dictionary. We can determine the extent and relevance of dynamic analysis in the stock market by examining the correlation value between the positive index value and the stock return value. We compiled a dataset of everyday stock prices of S&P500 businesses during five years and over 265,000 financial news stories on these firms.

Sentimental analysis, Sentimental dictionary, Positive index value, Stock return value.

"Analyze Stock Price Future Behavior Using News Sentiments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.e138-e142, June-2021, Available :http://www.jetir.org/papers/JETIR2106576.pdf

"Analyze Stock Price Future Behavior Using News Sentiments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppe138-e142, June-2021, Available at : http://www.jetir.org/papers/JETIR2106576.pdf