User Sentiment Analysis of COVID-19 via Adversarial Training Based on the BERT-FGM-BiGRU Model
User Sentiment Analysis of COVID-19 via Adversarial Training Based on the BERT-FGM-BiGRU Model
About this item
Full title
Author / Creator
Li, Zhaohui , Zhou, Luli , Yang, Xueru , Jia, Hongyu , Li, Wenli and Zhang, Jiehan
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
With the rapid development of social network platforms, Sina Weibo has become the main carrier for modern netizens to express public views and emotions. How to obtain the tendency of public opinion and analyze the text’s emotion more accurately and reasonably has become one of the main challenges for the government to monitor public opinion in the...
Alternative Titles
Full title
User Sentiment Analysis of COVID-19 via Adversarial Training Based on the BERT-FGM-BiGRU Model
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_6343de49486442e9aa4c391e384f3045
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6343de49486442e9aa4c391e384f3045
Other Identifiers
ISSN
2079-8954
E-ISSN
2079-8954
DOI
10.3390/systems11030129
