SENTPT: A Customized Solution for Multi-Genre Sentiment Analysis of Portuguese-Language Texts

AuthID
 P-00Z-TR2
4
Author(s)
Goularte, FB
·
Martins, BED
·
Won, M
Document Type
Review
Year published
2024
Published
in EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174
Volume: 245, Pages: 123075 (9)
Indexing
Wos®
Scopus®
Crossref®1
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85182028815
Wos: WOS:001164466600001
Source Identifiers
ISSN: 0957-4174
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