Sentiment Analysis of Twitter Messages: Demonetization a Use Case

被引：0
作者：
Kumar, Niharika [1 ]
机构：
[1] BNMIT, Dept Comp Sci & Engn, Bangalore, Karnataka, India
来源：
2017 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SYSTEMS AND INFORMATION TECHNOLOGY FOR SUSTAINABLE SOLUTION (CSITSS-2017) | 2017年
关键词：
Social Media Networks; Twitter; Demonetization; Sentiment Analysis;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Over the years Social Networks have become an important medium for users to express their ideas and opinions. Analyzing the social media content helps in understanding the views of a large cross-section of society. This paper enunciates the impact of social networks like twitter on diverse fields like politics, natural disasters, sports and entertainment. The paper proposes sentiment analysis of twitter messages on the topic of demonetization six months post the event. Analysis of the twitter messages reveals that opinion of public is correlated to the news flows like GDP numbers etc. Analysis also reveals that the opinions are polarized and the topic is predominantly being pursued by a smaller set of users.
引用
收藏
页码：82 / 86
页数：5
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