Резултати
eNauka >
Rezultati >
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
| Naziv: | 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 | Autori: | J. Maricic; D. Cvetkovic; M. Grubjesic; T. Zivkovic   ; M. Zivkovic ; L. Anicin; S. Anetic; N. Bacanin |
Godina: | 2026 | Publikacija: | LNNS Lecture Notes in Networks and Systems: ICDPN 2025: International Conference on Data Processing and Networking, volume 2025 | ISSN: | 2367-3370  Pretraži identifikator |
Izdavač: | Springer, Cham | Tip rezultata: | Poglavlje u monografiji | Kolacija: | 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 |
M-kategorija: | Mp kategorija će biti prikazana naknadno. |
Резултати на еНаука су заштићени ауторским правима и сва права су задржана, осим ако није другачије назначено.