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eNauka >  Results >  An Optimized XGBoost Approach for Racism Detection in Twitter Comments Employing Gensim and Modified Variable Neighborhood Search, LNNS Lecture Notes in Networks and Systems: ICDPN 2025: Data Processing and Networking, Springer, volume 2025
Title: An Optimized XGBoost Approach for Racism Detection in Twitter Comments Employing Gensim and Modified Variable Neighborhood Search, LNNS Lecture Notes in Networks and Systems: ICDPN 2025: Data Processing and Networking, Springer, volume 2025
Authors: J. Maricic; D. Cvetkovic; M. Grubjesic; T. Zivkovic  ; M. Zivkovic  ; L. Anicin; S. Anetic; N. Bacanin  
Issue Date: 2026
Publication: LNNS Lecture Notes in Networks and Systems: ICDPN 2025: International Conference on Data Processing and Networking, volume 2025
ISSN: 2367-3370 Search Idenfier
Publisher: Springer, Cham
Type: Book parts
Collation: str. 277-291
DOI: 10.1007/978-3-032-28616-1_22
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/12153
https://link.springer.com/chapter/10.1007/978-3-032-28616-1_22
https://enauka.gov.rs/handle/123456789/1048650
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