Sentiment Analysis for Religious Tweets

Abstract

Sentiment analysis of Twitter data has received a lot of interest and has shown diverse findings. Because of the brief data used in tweets, it draws the opportunity to get information about public opinion by studying Twitter data and automatically identifying its sentiment polarity. The goal of this study was to classify religious Tweets and extract opinion words about a specific religion. In this paper, we used the Valence Aware Dictionary for Sentiment Reasoner (VADER) to categorize tweets containing the phrase “there is religion.” The results indicated that detecting many classes of sentiment analysis was accurate.