Political Tweets Anatomization Using Sentiment Analysis

A. Pawar, Sairaj Lohar, Manoj Patil, R. Kulkarni, Vasim Inamdar
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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.
使用情感分析的政治推文解剖
社交媒体对我们生活的各个方面都有影响。它彻底改变了人们在网络上交流和社交的方式。它是现代社会不可否认的力量。它有力量迫使必要的改变。Facebook、Twitter、Instagram等社交网络平台允许用户与世界互动,表达他们对社会不同话题的看法。社交媒体在政治竞选中的影响力急剧增加,它在选举政治、政治民意调查中发挥着重要作用,因此有必要对政治话题进行情绪分析,以获得民意。这篇技术论文主要关注使用情感分析分析政治推文。在本文中,我们对印度不同的政治话题进行了情绪分析,并使用朴素贝叶斯机器学习算法分析了关于这些话题的整体情绪,并将这些推文分类为积极和消极。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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