Sentimental Analysis of Twitter Comments on Covid-19

被引：11
|
作者：
Raheja, Supriya [1 ]
Asthana, Anjani [1 ]
机构：
[1] Amity Univ, Dept Comp Sci & Engn, Noida, India
来源：
2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021) | 2021年
关键词：
Sentimental analysis; mining; twitter comments; Covid-19; coronavirus;
D O I：
10.1109/Confluence51648.2021.9377048
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The rise of social media offers users to share their state of mind and opinions in all aspects of their life. Vast amount of textual content is available and needs techniques to use of information meaningfully by separating and examining them. Sentimental Analysis mines the opinion of human being for a viewpoint. In this Pandemic condition of Corona, whole world is sharing their opinions on the social media. This paper shows a analysis of sentiments to get the opinion of people if they are positivity during this situation or not. The paper is using the technique of polarity to know the opinion is positive, negative, or nonpartisan [1]. Three main keywords "COVID", "Corona virus" and "COVID-19" are used to check the polarity.
引用
收藏
页码：704 / 708
页数：5
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