Suizidio-zantzuen bilaketa eta deskribapena sare sozialetako testuetan

Abstract

Social networks allow their users to share their concerns and emotions, including those related to mental illness. The aim of this work has been to determine which linguistic features are shown by people with potential suicidal ideation in social networks. For this purpose, we have used a dataset with Twitter messages, and we have analysed them morphosyntactically by means of automatic systems. We have also made several lexical analyses using intelligent systems. We concluded that people with potential suicidal ideation shape their linguistic features in order to express more precisely their inner perceptions and concerns.