Show simple item record

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

dc.contributor.authorMartínez Romo, J.
dc.contributor.authorHuesca Barril, Farsenio J.
dc.contributor.authorAraujo, L.
dc.contributor.authorCal Marín, Enrique Antonio de la 
dc.date.accessioned2025-02-07T07:20:02Z
dc.date.available2025-02-07T07:20:02Z
dc.date.issued2024
dc.identifier.issn1613-0073
dc.identifier.urihttps://hdl.handle.net/10651/76578
dc.description.sponsorshipThis 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).
dc.language.isoeng
dc.relation.ispartofCeur Workshop Proceedings
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85204360804&partnerID=40&md5=f965d1dc0b41f298fa4561ab60be02da
dc.titleUned-uniovi at emospeech-iberlef2024: emotion identification in spanish by combining multimodal textual analysis and machine learning methods
dc.typeconference output


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record