Suizidio-zantzuak sare sozialetanhizkuntza-ezaugarriak berdinak al dira ingelesez eta gaztelaniaz?

  1. Oronoz Anchordoqui, Maite 1
  2. Gracia Urzelai, Sara 1
  3. González Hidalgo, Jose Mari 1
  4. Pérez Ramírez, Alicia 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info
    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

    Geographic location of the organization Universidad del País Vasco/Euskal Herriko Unibertsitatea
Journal:
Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria

ISSN: 0214-9001

Year of publication: 2025

Issue Title: Adimen artifiziala

Issue: 1

Pages: 67-91

Type: Article

DOI: 10.1387/EKAIA.26341 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Ekaia: Euskal Herriko Unibertsitateko zientzi eta teknologi aldizkaria

Abstract

This research work is in the field of artificial intelligence called language processing and our goal is to analyse psycho-linguistic characteristics related to suicide in social networks. Intelligent systems have the ability to automatically extract this kind of characteristics associated with suicide ideation. In this work we investigate some suicide related characteristics mentioned in the antecedents (length of messages, verb tenses etc.) in two social networks in two languages: in Reddit in English and in Twitter in Spanish. We compare psycho-linguistics features in the suicide and non-suicide classes and also between languages. Re-garding the results, in both languages we found that in suicide related messages more first singular person pronoums are used. In the English dataset the length of the messages is higher but not in the Spanish one due to the length restrictions in Twitter. The number of question-marks and the use of verb tenses are not significant to distinguish both classes.

Data source: Dialnet