Back Ríssola EA, Ramírez-Cifuentes D, Freire A, Crestani F. Suicide Risk Assessment on Social Media:USI-UPF at the CLPsych 2019 Shared Task. Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology

Ríssola EA, Ramírez-Cifuentes D, Freire A, Crestani F. Suicide Risk Assessment on Social Media:USI-UPF at the CLPsych 2019 Shared Task. Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology

This  paper  describes  the  participation  of  the USI-UPF team at the shared task of the 2019Computational  Linguistics  and  Clinical  Psychology Workshop (CLPsych2019).  The goal is to assess the degree of suicide risk of social media users given a labelled dataset with their posts. An appropriate suicide risk assessment, with  the  usage  of  automated  methods,  can assist  experts  on  the  detection  of  people  at risk and eventually contribute to prevent suicide.   We  propose  a  set  of  machine  learning models with features based on lexicons, word embeddings, word level n-grams, and statistics extracted from users’ posts.  The results show that the most effective models for the tasks are obtained integrating lexicon-based features, a selected  set  of  n-grams,  and  statistical  measures.

 

https://www.aclweb.org/anthology/W19-3021