Study on various stock prediction techniques with news sentiment

The stock market is one of the trending topics in the current generation. Without it, businesses would largely resort to borrowing huge loans, which must be repaid-with interest, from banks or individuals with well-oiled pockets. It profits not only business people but also the general public, who are the investors in that stock. Though there are several ways to foretell a stock, which involves a lot of manual calculations, using Machine Learning or Deep Learning to ease the task has become the new normal in recent times. There are various methods under Machine Learning that are available, but the fundamental concept involves analyzing historical stock data of a company and identifying the seasonal effect to predict the future trend of that stock. The downside to such an approach is that it does not take external factors such as the latest news and social media data into consideration, hence providing unsatisfying accuracy. In this survey paper, we will analyze the correlation that exist between news sentiment and stock trend and will look into various approaches that are undertaken to design predictive and sentiment analysis models.