A Robust Approach to Analyse Sentiments for Trending Hashtags
Keywords:
Bigram, Naïve Bayes, Opinion Mining, Sentiment Analysis, UnigramAbstract
Interest in opinion mining or sentiment analysis has developed exponentially in the recent years. Opinion
mining or sentiment analysis can be defined as the computational study of people’s opinions, sentiments, attitudes, and
emotions present in written form. Billions of opinions are shared on social websites every day. Therefore these sites serve
as ample data source for sentiment analysis or opinion mining. In the present work twitter is used as the data source for
sentiment analysis. English language is used for the analysis as it is easier to use this language as compared to other
languages.