Sentiment Analysis of Stocks Based on News Headlines Using NLP
Aastha Saxena, Arpit Jain, Prateek Sharma, Sparsh Singla, Amrita Ticku · Atlantis Highlights in Intelligent Systems/Atlantis highlights in intelligent systems · 2022
In todays' world everyone starting from a child to an adult is studying stocks and is finding ways to earn more by studying the patterns of the market.Stock market is a compound interrelated system of various investors.It fluctuates frequently and hence is hard to predict what is yet to come.All the companies worldwide rely on these forecasts and speculations so that they can increase their profits.Everyday news on the economic front plays a vital role in defining the jump or drop in the prices of stocks.The market news helps the investor excessively in determining his bidding as it is immensely rich in information.In this study, we extract useful information from news headlines of a particular company to investigate the immediate impact of it on the company's stock growth.Having the text based dataset we use NLP and compare two approaches using two different algorithms which both collectively determine the sentiment of the news headline (whether it is positive/negative/neutral) in lieu with the company stocks.