Movie Rating Prediction

Movie ratings are influenced by a lot of factors. One of the main factors is the public opinion which is generated for a movie on social networking sites. Successful analysis of user tweets can lead to successful prediction of movie rating in IMDB. The dataset is being prepared by using the twitter feed against to the dataset which was created from IMDB. The main idea of the project is to extract features from twitter feed and use TF-IDF vectors to generate weight vectors and then use the machine learning algorithms to predict the rating for the movie. F1-score is being used as the quality measure.