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Title: :  PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT
PaperId: :  21778
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21778
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
NAVEEN V MBANNARI AMMAN INSTITUTE OF TECHNOLOGY
MUHAMMED THAHA A IBANNARI AMMAN INSTITUTE OF TECHNOLOGY
ARUN KBANNARI AMMAN INSTITUTE OF TECHNOLOGY
RAJKUMAR V SBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

Computer Science Engineering
Sentiment Analysis, BERT Sentiment Analysis, Covid-19 sentiment analysis, Public Sentiment Analysis
Sentiment analysis is a technique or method that is commonly used to analyze the sentiments or emotions of people. This is a method that is applicable to all occasions and this is also applicable to the global pandemic of the new coronavirus (COVID-19) is driving unprecedented digital conversations on social media. Often expressed through tweets, these conversations provide valuable insight into public feelings, concerns, and attitudes toward the sentiments. In this study, we propose a novel approach to explore public sentiment towards COVID-19 by using the bidirectional encoder representation from the transformer (BERT) model. Our research involves collecting an extensive dataset of coronavirus-specific tweets from social media platforms covering a key period. We then per-process and clean the data to remove unnecessary noise and information. Then, we use this prepared dataset to fine-tune the BERT model, enabling us to understand the nuances and context of discussions about COVID. We use this refined model to analyze sentiment on a collection of tweets. Sentiment analysis provides a comprehensive view of public emotional responses to different aspects of the epidemic by classifying tweets into positive, negative, and neutral sentiments Furthermore, we use natural language processing techniques to advanced use to extract key topics and trends from tweets, so that public discourse A deeper understanding is possible. Furthermore, we examine temporal changes in sentiment and information during the pandemic, identifying significant changes in public sentiment as events unfold. These longitudinal surveys help monitor changing public perceptions and concerns, which can be valuable for policymakers and health professionals.

Citations

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IJARIIE NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. "PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 5 2023 Page 1732-1738
MLA NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. "PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT." International Journal Of Advance Research And Innovative Ideas In Education 9.5(2023) : 1732-1738.
APA NAVEEN V M, MUHAMMED THAHA A I, ARUN K, & RAJKUMAR V S. (2023). PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT. International Journal Of Advance Research And Innovative Ideas In Education, 9(5), 1732-1738.
Chicago NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. "PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 5 (2023) : 1732-1738.
Oxford NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. 'PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, 2023, p. 1732-1738. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/PUBLIC_SENTIMENT_ANALYSIS_OF_CORONA___VIRSUS_SPECIFIC_TWEETS_USING_BERT_ijariie21778.pdf (Accessed : ).
Harvard NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. (2023) 'PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 1732-1738IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/PUBLIC_SENTIMENT_ANALYSIS_OF_CORONA___VIRSUS_SPECIFIC_TWEETS_USING_BERT_ijariie21778.pdf (Accessed : )
IEEE NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S, "PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 5, pp. 1732-1738, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/PUBLIC_SENTIMENT_ANALYSIS_OF_CORONA___VIRSUS_SPECIFIC_TWEETS_USING_BERT_ijariie21778.pdf [Accessed : ].
Turabian NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. "PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 5 ().
Vancouver NAVEEN V M, MUHAMMED THAHA A I, ARUN K, and RAJKUMAR V S. PUBLIC SENTIMENT ANALYSIS OF CORONA - VIRSUS SPECIFIC TWEETS USING BERT. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(5) : 1732-1738. Available from: https://ijariie.com/AdminUploadPdf/PUBLIC_SENTIMENT_ANALYSIS_OF_CORONA___VIRSUS_SPECIFIC_TWEETS_USING_BERT_ijariie21778.pdf
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