EQUITY MARKET SENTIMENT ANALYSIS USING NLP TECHNIQUES

Abstract

Abstract—Financial decision-making requires an understanding of equity market sentiment since investor opinion frequently affects stock prices and market trends. The proliferation of social media and online financial forums has resulted in a wealth of textual data that offers insightful information on the current state of the market. This presentation presents an analysis of the sentiment of the equity market using Natural Language Processing (NLP) techniques. The aim of this project is to develop a robust framework that leverages textual data from several sources, including investor forums, social media posts, and financial news items, in order to forecast and assess sentiment in the equities market using Natural Language Processing (NLP) techniques. The stages of the proposed approach are as follows: gathering data, pre- processing it, extracting features, sentiment analysis, and prediction.