Shaik, Shahedhadeennisa and P, Chaitra S (2024) NLP and Machine Learning for Sentiment Analysis in COVID-19 Tweets: A Comparative Study. EAI Endorsed Transactions on Pervasive Health and Technology.
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Abstract
In response to the COVID-19 pandemic, a novel technique is given for assessing the sentiment of individuals using Twitter data obtained from the UCI repository. Our approach involves the identification of tweets with a discernible sentiment, followed by the application of specific data preprocessing
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:10 |
| Last Modified: | 11 Apr 2026 00:34 |
| URI: | http://eprints.eai.eu/id/eprint/51445 |
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