Predicting stock market trend from twitter feed and building a framework for Bangladesh

Abstract

Social media has become an integral part in our day to day lives. What we share in these media are what we believe in and give others a window of opportunity to predict what is going on in our mind or how our actions will be in the future. Twitter is amazing at this job because usually people tend to write exactly what they are thinking when the character limit is only hundred and forty characters. This is particularly helpful when we want to analyze the trends of stock market. In this thesis paper, we tried to come up with a solution to better predict stock market trends analyzing the sentiments from twitter feeds obtained from StockTwits.