Results

eNauka >  Results >  Optimizing Categorical Boosting Using Modified Metaheuristic for Review Sentiment Analysis, Chapter in SST Studies in Smart Technologies: ICIVC 2024: Intelligent Vision and Computing, Springer
Title: Optimizing Categorical Boosting Using Modified Metaheuristic for Review Sentiment Analysis, Chapter in SST Studies in Smart Technologies: ICIVC 2024: Intelligent Vision and Computing, Springer
Authors: S. Kozakijevic; L. Jovanovic ; S. Jovanovic; T. Zivkovic  ; S. Malisic; M. Zivkovic  ; N. Bacanin  
Issue Date: 2025
Publication: SST Studies in Smart Technologies: ICIVC 2024: Proceedings of International Conference on Intelligent Vision and Computing
ISSN: 3004-9881 Search Idenfier
Publisher: Springer, Singapore
Type: Book parts
Collation: str. 15-29
DOI: 10.1007/978-981-96-4722-4_2
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11500
https://enauka.gov.rs/handle/123456789/994975
M-category: 
Mp. category will be shown later

Altmetric
Dimensions
Unpaywall

Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.