Abstract

Sentiment analysis is very perplexing field of social data mining. The tweets give peoples’ opinions. In this work, we have used pre-labeled Sanders Analytics data. We used machine learning approach and RTextTools. The steps involved in this works are creation of corpus, DTM, container, training data using ML algorithm and classification using training models. Comparative study of accuracy on various classifiers and Empirical study of collected tweets is being carried out using wordcloud of tweets using R packages.