• Used nltk for tokenizing, lemmatizing, stop word removal and pos tagging and feature generation.
• Trained multiple naïve bayes and linear classifiers using scikit-learn and compared their accuracy.
• Combined classifier algorithms by creating a voting system and assigning a confidence value to the final verdict. Storing tweets with confidence>80% to the system
• Plotted sentiment trends captured through live streaming data finding response on current affairs.