A. Pawar, Sairaj Lohar, Manoj Patil, R. Kulkarni, Vasim Inamdar
{"title":"Political Tweets Anatomization Using Sentiment Analysis","authors":"A. Pawar, Sairaj Lohar, Manoj Patil, R. Kulkarni, Vasim Inamdar","doi":"10.46610/JOITS.2021.V07I02.004","DOIUrl":null,"url":null,"abstract":"Social Media has an impact on different aspects of our life. It has revolutionized the way people communicate and socialize on the web. It is an undeniable force in modern society. It has the power to force necessary changes. Social networking platforms such as Facebook, Twitter, Instagram allows users to interact with the world, to express their view on different topics in society. Social media influence in political campaigns has increased tremendously, it plays an important role in electoral politics, political polling, so it is necessary to perform sentiment analysis on political topics to get the public opinion. This technical paper focuses mainly on analysis of political tweets using sentiment analysis. In this paper, we performed sentiment analysis on different political topics in India and analysed the overall sentiments regarding those topics, using naive bayes machine learning algorithm and classified those tweets as positive and negative.","PeriodicalId":273004,"journal":{"name":"Journal of Information Technology and Sciences","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Information Technology and Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46610/JOITS.2021.V07I02.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Social Media has an impact on different aspects of our life. It has revolutionized the way people communicate and socialize on the web. It is an undeniable force in modern society. It has the power to force necessary changes. Social networking platforms such as Facebook, Twitter, Instagram allows users to interact with the world, to express their view on different topics in society. Social media influence in political campaigns has increased tremendously, it plays an important role in electoral politics, political polling, so it is necessary to perform sentiment analysis on political topics to get the public opinion. This technical paper focuses mainly on analysis of political tweets using sentiment analysis. In this paper, we performed sentiment analysis on different political topics in India and analysed the overall sentiments regarding those topics, using naive bayes machine learning algorithm and classified those tweets as positive and negative.