DARE to Care: A Context-Aware Framework to Track Suicidal Ideation on Social Media

Bilel Moulahi 1 Jérôme Azé 2 Sandra Bringay 3, 4
1 FST - Département d'informatique
2 LRI - Laboratoire de Recherche en Informatique
3 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
4 UM3 - Université Paul-Valéry - Montpellier 3
Abstract : The abundance and growing usage of social media has given an unprecedented access to users' social accounts for studying people's thoughts and sentiments. In this work, we are interested in tracking in-dividual's emotional states and more specifically suicidal ideation in mi-croblogging services. We propose a probabilistic framework that models user's online activities as a sequence of psychological states over time and predicts the emotional states by incorporating the context history. Based on Conditional Random Fields, our model is able to provide comprehensive interpretations of the relationship between the risk factors and psychological states. We evaluated our approach within real case studies of Twitter' users that have demonstrated a serious change in their emotional states and online behaviour. Our experiments show that the model is able to identify suicidal ideation with high precision and good recall with substantial improvements on state-of-the-art methods.
Keywords : Social Media Suicide Emotional states CRFs Context
Type de document :
Communication dans un congrès
WISE: Web Information Systems Engineering, Oct 2017, Moscow, Russia. 18th International Conference on Web Information Systems Engineering, 2017
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01633312
Contributeur : Bilel Moulahi <>
Soumis le : dimanche 12 novembre 2017 - 12:44:53
Dernière modification le : mardi 18 septembre 2018 - 09:38:18
Document(s) archivé(s) le : mardi 13 février 2018 - 12:33:41

Fichier

wise2017-preprint.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : lirmm-01633312, version 1

Collections

LIRMM | INRIA | CENTRALESUPELEC | INRIA2017 | MIPS | UNIV-MONTPELLIER | UMR8623 | UNIV-PARIS-SACLAY | ADVANSE

Citation

Bilel Moulahi, Jérôme Azé, Sandra Bringay. DARE to Care: A Context-Aware Framework to Track Suicidal Ideation on Social Media. WISE: Web Information Systems Engineering, Oct 2017, Moscow, Russia. 18th International Conference on Web Information Systems Engineering, 2017. 〈lirmm-01633312〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

424

Téléchargements de fichiers

325

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD