Title: Sentiment Analysis of Social Media and News Data for predicting Stock price movements Abstract: Twitter and New York Times are two very popular websites on the internet. The project aims at using data from these two sources to analyze the sentiments relating to stock and hence present a predictive relationship between opinions and news on the internet and stock price movements. The project will be using historical stock data obtained from Yahoo finances to correlate the market sentiment collected from twitter and NY Times. Positive market sentiment should mean that the stock prices will go up. A combination of Natural Language Processing and machine learning algorithms will be used for the sentiment analysis of data from Twitter and NY Times news headlines. The sentiment analysis performed from these twitter and NY Times will be then compared. Related domain of Study: The project will be addressing the domain of Predictive Analysis in Stock Market. ...