Analyzing stock price changes using event related Twitter feeds

摘要

For many years Twitter has been the key source for providing the sentiments of the people in the real time, which are helpful for analyzing the stock market. But after certain event happened the sentiments of people became more predominant on the stock price. This paper describes about the stock prices changes over the event related day wise tweet sentiment score. We have over 200000 tweets over the period of 5 days. We have analyzed the stock market values collected from yahoo finance. We have done the keyword analysis of tweets to find the frequent keywords used during the period about the event and also we have seen the trend of keyword used over the period. After all the analysis and observation we found some positive correlation between the stock prices changes and the average sentiment score.