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

Basiri, M E; Nemati, S; Abdar, Moloud; Asadi, S; Acharrya, U R

abdar-anovelfusion-based-2021.pdf (8.81 MB)

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

journal contribution

posted on 2021-01-01, 00:00 authored by M E Basiri, S Nemati, Moloud Abdar, S Asadi, U R 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

Publisher

Elsevier

Location

Amsterdam, The Netherlands

Publisher DOI

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

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

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C1 Refereed article in a scholarly journal

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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

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

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