Abstract

The work provides an overview of sentiment analysis in social media. Sentiment analysis has become important with the use of social media and technology. Several methods for sentiment analysis have been proposed in literature. Data from social media websites such as Instagram, Facebook and YouTube have been used by researchers for prediction. The work proposes to predict sentiment and classifies the comments as positive, negative or neutral. The work also attempts to fit a linear regression model to predict the subscriber/follower count for any social media account, say a YouTube channel or an account on Instagram.