EMOTION/MOOD DETECTION ON TWITTER TWEETS BY USING SENTIMENT ANALYSIS

Abstract

The utilization ofmedia platform has grew bigger over the years obtained from social media alone. People express their sentiments have discussed how data and information of information is using social site twitter. In this study obtained from twitter in the form of tweets can be helpful in detecting moods of we the premise of emotion prediction. We perform of the collected twitter data and explain discovered phenomena. people. This study is performed emotion detection Multiple algorithms like Naive Bayes, random forest, SVM, linear regression and K used to build an Emotion classifier that will determine the on Nearest Neighbour are emotion class ofthe text and compares the results using confusion matrix