Social Media Data Analysis: Twitter Sentimental Analysis on Kerala Floods Using R Language

Abstract

Web-based social networking has turned out to be essential specialized devices for ordinary discussions. Because of their ubiquity, person to person communication destinations comprise a rich wellspring of data about the general supposition. Social information analysis is the examination of individuals’ connection in Internet-based life on how they are communicating their perspectives. The information broke down here is gathered through long range informal communication site Twitter which is one of the greatest stages for data sharing. Wistful investigation permits us think about individuals’ perspectives in support or against of any subject. In this paper, we target August 2018, Kerala Floods as a contextual investigation for feeling examination. Our thought behind is to watch, look at and break down how individuals express their perspectives. To get the better results with these tweets, R-programming is used to develop the proposed system. In this analysis, the data from tweets are separated utilizing catchphrase-based learning extraction. The exploratory outcomes demonstrate that how individuals everywhere throughout the world remains for Kerala and contribute relief reserve to CMO Kerala.