A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets

journal contribution

posted on 2024-06-05, 12:06 authored by ME Basiri, S Nemati, M Abdar, S Asadi, UR Acharrya

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets

History

Journal

Knowledge-Based Systems

Volume

228

Article number

107242

Pagination

1-21

Location

Amsterdam, The Netherlands

Open access

Yes

Link to full text

https://doi.org/10.1016/j.knosys.2021.107242

ISSN

0950-7051

eISSN

1872-7409

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000685995700008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

Usage metrics

Categories

No categories selected

Keywords

CLASSIFICATION Computer Science Computer Science, Artificial Intelligence Coronavirus (COVID-19)Deep learning EVENT DETECTION Information fusion Science & Technology Sentiment analysis Technology Tweet analysis TWITTER DATA

Licence

All Rights Reserved

Exports