Sentiment Analysis of Social Media during Coronavirus and Its Correlation with Indian Stock Market Movements

Abstract

The COVID-19 pandemic has deeply influenced our emotional state, leading to significant volatility in the Indian stock market throughout the year. Emotions have become a key factor in driving market movements, with the pandemic amplifying their effects. This research investigates the effectiveness of various machine learning algorithms in analyzing and predicting sentiment within the Indian stock market during the pandemic. It introduces a framework that assesses six different algorithms, identifying the ones with the highest accuracy. These findings could be instrumental in creating more robust prediction models moving forward.