| Título |
LIDOMA at HOPE2023@IberLEF: Hope Speech Detection Using Lexical Features and Convolutional Neural Networks |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
2023 Iberian Languages Evaluation Forum, IberLEF 2023 |
| Resumen |
Hope speech can help to reduce hostile environments and alleviate illnesses and depression, which makes it important to detect it automatically. In this paper, we present our submission for the HOPE: Multilingual Hope Speech Detection shared task at IberLEF 2023, which includes two sub-tasks: detecting hope speech in Spanish tweets and English YouTube comments. We proposed a word-based tokenization approach to train a Convolutional Neural Network (CNN). Our decision to use CNNs was inspired by previous works in hope speech detection that achieved good results using this method. Our approach achieved the fourth place in both sub-tasks. The source code to reproduce our results can be found at https://github.com/moeintash72. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
| Observaciones |
CEUR Workshop Proceedings, v. 3496 |
| Lugar |
Jaen |
| País |
España |
| No. de páginas |
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| Vol. / Cap. |
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| Inicio |
2023-09-26 |
| Fin |
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| ISBN/ISSN |
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