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Sentiment Analysis of Tweets on the COVID-19 Pandemic Using Machine Learning Techniques
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Author(s): Jothikumar R. (Shadan College of Engineering and Technology, India), Vijay Anand R. (Velloe Institute of Technology, India), Visu P. (Velammal Enginerring College, India), Kumar R. (National Institute of Technology, Nagaland, India), Susi S. (Shadan Women's College of Engineering and Technology, India)and Kumar K. R. (Adhiyamaan College of Engineering, India)
Copyright: 2022
Pages: 11
Source title:
Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-6303-1.ch093
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Abstract
Sentiment evaluation alludes to separate the sentiments from the characteristic language and to perceive the mentality about the exact theme. Novel corona infection, a harmful malady ailment, is spreading out of the blue through the quarter, which thought processes respiratory tract diseases that can change from gentle to extraordinary levels. Because of its quick nature of spreading and no conceived cure, it ushered in a vibe of stress and pressure. In this chapter, a framework perusing principally based procedure is utilized to discover the musings of the tweets related to COVID and its effect lockdown. The chapter examines the tweets identified with the hash tags of crown infection and lockdown. The tweets were marked fabulous, negative, or fair, and a posting of classifiers has been utilized to investigate the precision and execution. The classifiers utilized have been under the four models which incorporate decision tree, regression, helpful asset vector framework, and naïve Bayes forms.
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