Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts using Natural Language Processing, to Understand People’s Perspectives Regarding COVID-19 Omicron Subvariants XBB.1.5 and BF.7

Twitter-Based Sentiment Analysis and Topic Modeling of Social Media Posts using Natural Language Processing, to Understand People’s Perspectives Regarding COVID-19 Omicron Subvariants XBB.1.5 and BF.7

Concerns about an increase in cases during the COVID-19 pandemic have been heightened by the emergence of a new Omicron subvariant XBB.1.5 that joined the previously reported BF.7 as a source of public health concern. COVID-19 cases have been on the rise intermittently throughout the ongoing pandemi...

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Bibliographic Details
Main Authors: S.V. Praveen, Rosemol Boby, Roshan Shaji, Deepak Chandran, Nawfal R. Hussein, Sirwan Khalid Ahmed, Shopnil Akash, Kuldeep Dhama
Format: Article
Language:English
Published: Journal of Pure and Applied Microbiology 2023-03-01
Series:Journal of Pure and Applied Microbiology
Subjects:
xbb 1.5
bf.7
omicron subvariants
natural language processing
sentiment analysis
topic modeling
twitter-based analysis
Online Access:https://microbiologyjournal.org/twitter-based-sentiment-analysis-and-topic-modeling-of-social-media-posts-using-natural-language-processing-to-understand-peoples-perspectives-regarding-covid-19-omicron-subvariants-xbb-1-5/

Internet

https://microbiologyjournal.org/twitter-based-sentiment-analysis-and-topic-modeling-of-social-media-posts-using-natural-language-processing-to-understand-peoples-perspectives-regarding-covid-19-omicron-subvariants-xbb-1-5/

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