MentalRiskES: A New Corpus for Early Detection of Mental Disorders in Spanish
Alba María Mármol Romero, Adrián Moreno-Muñoz, Flor Miriam Plaza-Del-Arco, M. Dolores Molina-González, Arturo Montejo-Ráez
Abstract
With mental health issues on the rise on the Web, especially among young people, there is a growing need for effective identification and intervention. In this paper, we introduce a new open-sourced corpus for the early detection of mental disorders in Spanish, focusing on eating disorders, depression, and anxiety. It consists of user messages posted on groups within the Telegram message platform and contains over 1,300 subjects with more than 45,000 messages posted in different public Telegram groups. This corpus has been manually annotated via crowdsourcing and is prepared for its use in several Natural Language Processing tasks including text classification and regression tasks. The samples in the corpus include both text and time data. To provide a benchmark for future research, we conduct experiments on text classification and regression by using state-of-the-art transformer-based models.
BibTeX
@inproceedings{marmol-romero-etal-2024-mentalriskes,
title = "{M}ental{R}isk{ES}: A New Corpus for Early Detection of Mental Disorders in {S}panish",
author = "M{\'a}rmol Romero, Alba Mar{\'i}a and
Moreno-Mu{\~n}oz, Adri{\'a}n and
Plaza-Del-Arco, Flor Miriam and
Molina-Gonz{\'a}lez, M. Dolores and
Montejo-R{\'a}ez, Arturo",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.978/",
pages = "11204--11214"
}