Sentiment Analysis of Social Network Feeds for Threat Protection

Abstract

Social Network becomes widely accepted by the users and active communication tool in 21st century. In this paper, we use test data of Twitter, for sentiment analysis. Users may post vulnerable tweets which can result in threats; hence we analyze these tweets to determine threat warnings from specific group of users or organizations. We discuss brief literature review and present our methodology for doing sentiment analysis. We find several users most active and regularly mentioning other users. Based on our results, we present our analysis in the paper. Dataset was requested from Kaggle for research purposes.