Opinion Mining of Pandemic Using Machine Learning

被引：1

作者：

Mehrotra, Radhika ^{[1
]}

Garg, Ojas ^{[1
]}

Gupta, Shelley ^{[1
]}

Singh, Archana ^{[2
]}

机构：

[1] ABES Engn Coll, Ghaziabad, Uttar Pradesh, India

[2] Amity Sch Engn & Technol, Dept Informat Technol, Noida, India

来源：

ADVANCES IN DATA AND INFORMATION SCIENCES | 2022年 / 318卷

关键词：

COVID-19; Pandemic; Opinion mining; Machine learning algorithm; RANDOM FORESTS; CLASSIFICATION;

D O I：

10.1007/978-981-16-5689-7_20

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

COVID-19 or popularly known as coronavirus is an infectious disease originated in Wuhan, China in 2019, and it has been spread all parts of the world. In India, the first case is found in the early 2020. Soon after it, the lockdown was imposed to control the situation. By now, India has become 2nd most affected country by the virus. In this paper, the sentiments of the people on the social media platform during this current pandemic is determined that is opinion mining of the tweets during this pandemic is done, and also, it is tried to find that which machine learning algorithm will fit best for analyzing the sentiments. About 30,000 tweets from Twitter have been analyzed to determine the positivity, negativity or neutrality of people.

引用

页码：225 / 231

页数：7

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