Examining Mental Suffering of People Due to Coronavirus Pandemic Using Artificial Intelligence

被引:0
|
作者
Kaur, Jasdeep [1 ]
Chhabra, Amit [1 ]
Saini, Munish [1 ]
Bacanin, Nebojsa [2 ]
机构
[1] Guru Nanak Dev Univ, Dept Comp Engn & Technol, Amritsar, Punjab, India
[2] Singidunum Univ, Dept Informat & Comp, Belgrade, Serbia
关键词
Coronavirus (COVID-19); Twitter; Artificial intelligence; Sentiment analysis; Sentiment strength; Mental health; INSIGHTS; TWITTER;
D O I
10.1007/978-981-16-5689-7_36
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mental health issues are very prominent in the modern world. Almost one in four people in the world are suffering from mental illness. The world has been going through a major pandemic known as a coronavirus which was first reported in China. People are at risk of getting mentally ill due to various restrictions imposed such as lockdown and social distancing. Our study aims to analyze the mental suffering of the people toward the outbreak. The analysis is done using tweets from ten different countries. For analyzing, artificial intelligence is used under which the sentiment analysis is performed illustrating fear is the most prominent emotion prevailing in the people followed by other negative emotions like sadness, anxiety, disgust, and anger. The correlation analysis indicates that negative emotion like fear is highly correlated with other negative emotions. It pinpoints the fact that the spreading of coronavirus has widely affected the mental health of the people.
引用
收藏
页码:405 / 416
页数:12
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