earticle

영어

In the past few years, microblogging websites have evolved to become a source of varied kind of information. Twitter is a popular microblogging website where users create short status messages called ‘tweets’. In this paper, we present a state-of-the art model trained using a support vector machine with Bag-Of-Words and TF-IDF features for each tweet. The proposed model provides a visual and an auditory representation of the sentiments that the tweets have been classified into. The results show a state-of-the art performance achieved by the model with a F1 measure of 77.47 and an accuracy of 77.93% which is better than the existing models.