Slides available at: http://www.slideshare.net/dalmiaayushi/sentiment-analysis-in-twitter Video available at: https://www.youtube.com/watch?v=CuAyE9NISzo Demo (within IIIT-H): http://10.2.4.49:8000/TSAA/ This project aims sentiment analysis at two levels: Sub Task A: Sentiment Analysis of the tweet considering sub phrases Sub Task B: Sentiment Analysis of the tweet as a whole Prerequisites: 1)Python 2.6 or higher 2)NLTK 2.0 http://www.nltk.org 3)NumPy http://numpy.scipy.org 4)SentiWordNet http://sentiwordnet.isti.cnr.it 5)Sentiment_classifier 0.5 https://pypi.python.org/pypi/sentiment_classifier 6)sklearn 7)LIBSVM :https://github.com/cjlin1/libsvm Look into the ReadMe files of the respective folder to learn more