Sentiment classification using qminer. Given a set of tweets and their sentiment labels (1 for positive and -1 for negative) we will train a machine learning model that predicts the sentiment on new texts (uses Support Vector Machines as the machine learning model and tfidf-weighted bag of words feature extraction for text processing).