Uned-uniovi at emospeech-iberlef2024: emotion identification in spanish by combining multimodal textual analysis and machine learning methods

Martínez Romo, J.; Huesca Barril, Farsenio J.; Araujo, L.; Cal Marín, Enrique Antonio de la

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Uned-uniovi at emospeech-iberlef2024: emotion identification in spanish by combining multimodal textual analysis and machine learning methods

Autor(es) y otros:

Martínez Romo, J.; Huesca Barril, Farsenio J.; Araujo, L.; Cal Marín, Enrique Antonio de la

Fecha de publicación:

2024

URI:

https://hdl.handle.net/10651/76578

ISSN:

1613-0073

Patrocinado por:

This work has been partially supported by the Spanish Ministry of Science and Innovation within the DOTT-HEALTH Project (MCI/AEI/FEDER, UE) under Grant PID2019-106942RB-C32, OBSER-MENH Project (MCIN/AEI/10.13039/501100011033 and NextGenerationPRTR) under Grant TED2021-130398B-C21, and EDHER-MED under grant PID2022-136522OB-C21 as well as project SICAMESP (UNED, 2023-VICE-0029).

Repositorio Institucional de la Universidad de Oviedo

Uned-uniovi at emospeech-iberlef2024: emotion identification in spanish by combining multimodal textual analysis and machine learning methods

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