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eNauka >  Results >  Optimizing XGBoost for Online Tweets Harassment Detection Using Word2Vec and Modified Metaheuristics, Chapter in LNNS Lecture Notes in Networks and Systems: ICDSA 2025: Data Science and Applications, Springer, volume 1721
Title: Optimizing XGBoost for Online Tweets Harassment Detection Using Word2Vec and Modified Metaheuristics, Chapter in LNNS Lecture Notes in Networks and Systems: ICDSA 2025: Data Science and Applications, Springer, volume 1721
Authors: D. Bulaja; B. Radomirovic; M. Tomic; V. Zeljkovic; T. Zivkovic  ; M. Zivkovic  ; L. Babic; N. Bacanin  
Issue Date: 2026
Publication: LNNS Lecture Notes in Networks and Systems: ICDSA 2025: Conference Proceedings of International Conference on Data Science and Applications, volume 1721
ISSN: 2367-3370 Search Idenfier
Publisher: Springer, Cham
Type: Book parts
Collation: str. 343-357
DOI: 10.1007/978-3-032-10753-4_29
Scopus-ID: 2-s2.0-105027275120
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11782
https://link.springer.com/chapter/10.1007/978-3-032-10753-4_29
https://enauka.gov.rs/handle/123456789/1022381
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