A Comprehensive Review of Stock Price Prediction Using

Abstract

Purpose.In various studies, the sentiment analysis identifies as an essential part of stock price behaviorprediction. The availability of news, social media networks,and the rapid development of natural language processing methods resulted in better forecasting performance. However, there is a lack of a comprehensive framework and review paper to address the advantages and challenges of this very timely topic. Design/methodology/approach.This paper aims to promotethe existing literature in this field by focusing on different aspects of previous studies and presenting an explicit picture of their components. We, furthermore, compare each system with the rest and identify their main differentiating factors. This paper summarized and systematized studies that seek to predict stock prices based on text mining and sentiment analysis in a systematic review paper.