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Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm
| Naziv: | Comparing large Language models and human annotators in latent content analysis of sentiment, political leaning, emotional intensity and sarcasm | Autori: | Bojic, Ljubisa   ; Zagovora, Olga; Zelenkauskaite, Asta; Vuković, Vuk; Čabarkapa, Milan; Veseljević Jerković, Selma; Jovančević, Ana |
Godina: | 2025 | Publikacija: | Scientific Reports | ISSN: | 2045-2322 Scientific Reports Pretraži identifikator |
Izdavač: | Nature Research | Tip rezultata: | Naučni članak | Kolacija: | vol. 15 br. 1 | DOI: | 10.1038/s41598-025-96508-3 | WoS-ID: | 001459325700008 | Scopus-ID: | 2-s2.0-105002820343 | URI: | https://rifdt.ifdt.bg.ac.rs/123456789/4305 https://enauka.gov.rs/handle/123456789/977609 |
Projekat: | CA21129 - What are Opinions? Integrating Theory and Methods for Automatically Analyzing Opinionated Communication (OPINION) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
