Proposed Methodology for Sentiment Analysis of Social Media Data Focusing on the Sentiment Analysis in Political Domain

被引:0
作者
Singh, Hargobind [1 ]
Singh, Amritpal [1 ]
机构
[1] Lovely Profess Univ, Sch Comp Sci & Engn, Jalandhar, Punjab, India
来源
2021 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS 2021) | 2021年
关键词
R studio; Facebook; Twitter; Sentiment Analysis; TWITTER;
D O I
10.1109/ICCS54944.2021.00033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
As we know that Social media has become an important part of today's generation. People try to post their daily routine on social media (Facebook, twitter etc.). Thus, results produced from mining the social media data are very effective in understanding current trends. As we all know these trends are very helpful for different kind of business, launching new products etc. But there is one another field where social media plays a big role that is in understanding social and political dynamic. This proposal paper is based on understanding this political dynamic through mining the social media data and producing trends which can even be used for future plans.
引用
收藏
页码:129 / 132
页数:4
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