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Combining BERT and CNN for Sentiment Analysis A Case Study on COVID-19

Combining BERT and CNN for Sentiment Analysis A Case Study on COVID-19

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3131836632

Combining BERT and CNN for Sentiment Analysis A Case Study on COVID-19

About this item

Full title

Combining BERT and CNN for Sentiment Analysis A Case Study on COVID-19

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

Journal title

International journal of advanced computer science & applications, 2024-01, Vol.15 (10)

Language

English

Formats

Publication information

Publisher

West Yorkshire: Science and Information (SAI) Organization Limited

More information

Scope and Contents

Contents

This research focuses on sentiment analysis to understand public opinion on various topics, with an emphasis on COVID-19 discussions on Twitter. By utilizing state-of-the-art Machine Learning (ML) and Natural Language Processing (NLP) techniques, the study analyzes sentiment data to provide valuable insights. The process begins with data preparatio...

Alternative Titles

Full title

Combining BERT and CNN for Sentiment Analysis A Case Study on COVID-19

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3131836632

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3131836632

Other Identifiers

ISSN

2158-107X

E-ISSN

2156-5570

DOI

10.14569/IJACSA.2024.0151069

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