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eNauka >  Results >  Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model
Title: Advancing Sentiment Analysis in Serbian Literature: A Zero and Few-Shot Learning Approach Using the Mistral Model
Authors: Milica Ikonic Nešić; Saša Petalinkar; Mihailo Škorić  ; Ranka Stanković  ; Biljana Rujević  
Other contributors: Nicoletta Calzolari; Min-Yen Kan; Veronique Hoste; Alessandro Lenci; Sakriani Sakti; Nianwen Xue
Issue Date: 2024
Publication: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, Sofia, Bulgaria, 9-10 September 2024
Publisher: LREC | COLING
Type: Conference Paper
WoS-ID: 001324798800008
URI: http://zaposleni.fil.bg.ac.rs/rest/sciNaucniRezultati/oai/record/1/5181
https://enauka.gov.rs/handle/123456789/932715
http://dr.rgf.bg.ac.rs/s/repo/item/8805
https://dr.rgf.bg.ac.rs/s/repo/item/8805
Project: TESLA
TESLA
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