Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10045/137841
| Title: | Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models |
|---|---|
| Authors: | Mirabal, Pedro | Hernández-Alvarado, Suilen | Abreu Salas, José Ignacio |
| Research Group/s: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
| Center, Department or Service: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
| Keywords: | Sentiment Analysis | Deep Learning | Transformer Models |
| Issue Date: | 26-Sep-2023 |
| Publisher: | CEUR |
| Citation: | 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 |
| Abstract: | 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. |
| Sponsor: | 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 |
| Language: | eng |
| Type: | info:eu-repo/semantics/conferenceObject |
| Rights: | © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
| Peer Review: | si |
| Publisher version: | https://ceur-ws.org/Vol-3496/ |
| Appears in Collections: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
 Mirabal_etal_IberLEF2023.pdf | 873,26 kB | Adobe PDF | Open Preview | |
See citations in Google Scholar
Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.