Automated Classification of Societal Sentiments on Twitter With Machine Learning

The rapid growth in information sharing on social media has defined a new information age in our society. Microblogging sites, such as Twitter, gained immense popularity during the COVID-19 pandemic. We developed an automated framework to extract the positive, negative, and neutral sentiments from t...

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Bibliographic Details
Published in:IEEE transactions on technology and society 2022-06, Vol.3 (2), p.100-110
Main Authors: Vyas, Piyush, Reisslein, Martin, Rimal, Bhaskar Prasad, Vyas, Gitika, Basyal, Ganga Prasad, Muzumdar, Prathamesh
Format: Article
Language:English
Subjects:
Automation
Blogs
Classification
Coronavirus tweets
Coronaviruses
COVID-19
Data mining
Evaluation
hybrid framework
Machine learning
Neural networks
Pandemics
Sentiment analysis
Social networking (online)
Social networks
Society
text classification
tweet classification
Twitter
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