Micro-blogging Sentiment Analysis Using Bayesian Classification Methods

In this project I address the problem of accurately classifying the sentiment in posts from micro-blogs such as Twitter. As Twitter gains popularity, it becomes more useful to analyze trends and sentiment of its users towards various topics. Determining the general attitude of users towards a product or service, for example, can help a business measure overall consumer attitudes and customer satisfaction, and it can also provide a warning when there is a sudden change in sentiment.