The project aimed at developing a program which can determine whether a piece of writing is positive, negative or neutral. Developed a voted classifier based on idea of ensemble learning to boost accuracy. Used various classifiers like naivebayes, multinomial NB, linear svm, KNN classifiers which returned classified sentiment based on vote of various classifiers results. Trained all classifiers positive and negative dataset using bag of words. Report is produced in real time.