A Review of Sentiment-Driven Intelligent Systems for Analyzing the Influence of News Media on Stock Market Prediction

This review presents the field of intelligent system that enquires sentiment-driven stock prediction, an area of research that aims to predict market direction combining traditional financial analysis tasks and sentiment generated by investors and the community. This paper explains hypothesis that incorporating sentiment analysis into stock price prediction can enhances intelligent system prediction performances. This article summarizes various ways of sentiment-based stock prediction by reviewing various research articles and highlights increase in performance of predictive model which incorporate sentiment analysis in their algorithm.