Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models
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| Título: | Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models |
|---|---|
| Autor/es: | Mirabal, Pedro | Hernández-Alvarado, Suilen | Abreu Salas, José Ignacio |
| Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
| Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
| Palabras clave: | Sentiment Analysis | Deep Learning | Transformer Models |
| Fecha de publicación: | 26-sep-2023 |
| Editor: | CEUR |
| Cita bibliográfica: | Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Jaén, Spain, September 26, 2023. CEUR Workshop Proceedings, Vol-3496 |
| Resumen: | This paper describes our participation in the Rest-Mex 2023 Sentiment Analysis Task. We proposed an ensemble of (i) a cascade of transformer-based two-class classifiers biased to lowering the Mean Average Error in Polarity, and (ii) multi-class transformer-based classifiers for the prediction of the Type and Location of the messages. Our system achieved a sentiment track score of 0.719. |
| Patrocinador/es: | This research has been funded by: the Generalitat Valenciana (Conselleria d’Educació, Investigació, Cultura i Esport), through the project NL4DISMIS: Natural Language Technologies for Dealing with dis- and misinformation (CIPROM/2021/021); MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/ PRTR through the project ClearText <TED2021-130707B-I00>. |
| URI: | http://hdl.handle.net/10045/137841 |
| ISSN: | 1613-0073 |
| Idioma: | eng |
| Tipo: | info:eu-repo/semantics/conferenceObject |
| Derechos: | © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
| Revisión científica: | si |
| Versión del editor: | https://ceur-ws.org/Vol-3496/ |
| Aparece en las colecciones: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
Archivos en este ítem:
| Archivo | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
 Mirabal_etal_IberLEF2023.pdf | 873,26 kB | Adobe PDF | Abrir Vista previa | |
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