Mood based recommendation system in social media using PSV algorithm

Abstract

Social media plays a vital role in real life events. The overall mood of a tweeter can be assessed through tweets if they are put through sentiment analysis. An analysis is performed on the various tweets and the missing values are found out for the topic opinion. A model for recommendation system based on the positive score associated with each topic has been proposed.