Investigating the Emergent Reasoning Abilities of Large Language Models in Sentiment Analysis of Codified Music

This repository provides the resources for the paper Investigating the Emergent Reasoning Abilities of Large Language Models in Sentiment Analysis of Codified Music, accepted for publication at the XXII Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2025).

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MODELS

All models are available in this Hugging Face collection.

CITING

ASSIS, Gabriel; ALVARENGA, Laura; MORAES, João Vitor de; AZEVEDO, Lívia de; PAES, Aline. Investigating the Emergent Reasoning Abilities of Large Language Models in Sentiment Analysis of Codified Music. In: ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL (ENIAC), 22. , 2025, Fortaleza/CE. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 415-426. ISSN 2763-9061. DOI: https://doi.org/10.5753/eniac.2025.12548.

BIBTEX

@inproceedings{eniac25-assis,
 author = {Gabriel Assis and Laura Alvarenga and João Moraes and Lívia Azevedo and Aline Paes},
 title = { Investigating the Emergent Reasoning Abilities of Large Language Models in Sentiment Analysis of Codified Music},
 booktitle = {Anais do XXII Encontro Nacional de Inteligência Artificial e Computacional},
 location = {Fortaleza/CE},
 year = {2025},
 keywords = {},
 issn = {2763-9061},
 pages = {415--426},
 publisher = {SBC},
 address = {Porto Alegre, RS, Brasil},
 doi = {10.5753/eniac.2025.12548},
 url = {https://sol.sbc.org.br/index.php/eniac/article/view/38737}
}

FUNDING

We thank the financial support of CNPq (National Council for Scientific and Technological Development), grant 307088/2023-5, FAPERJ (Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro), processes SEI-260003/002930/2024, SEI-260003/000614/2023, and CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) – Finance Code 001. We also thank the support of the National Institutes of Science and Technology IAIA and TILD-IAR.