Sentimental Analysis for Sensex Stocks using Vader Algorithm- An approach for Investment recommendations in Indian stock market

Abstract

There are different approaches to suggest investment strategies for the stocks in the stock market. Accurate prediction of investment strategy for stocks is one of the challenging tasks for an investor. This paper focuses on developing a model that supports stock market investment decision making strategies for Sensex stocks in India using sentimental analysis. In this study, we used an approach to predict the investment strategy through VADER Model. We claim that the sentiment analysis of news headlines and tweets has an impact on stock market values. So, news headlines are collected along with the stock market investment data for the period of study. The model, when used in Sensex, shows accuracy in the prediction of investment strategies.