SIAS: Suicidal Intentions Alerting System

Georgios Domalis, Christos Makris, Pantelis Vikatos, Anastasios Papathanasiou, Efterpi Paraskevoulakou, Manos Sfakianakis

2017

Abstract

In this paper, we present an alerting system based on an efficient classification model for detecting suicidal people using natural language processing and data mining techniques. The model uses linguistic features which are derived from an analysis of handwritten and electronic messages/notes. The model was trained and validated with fully anonymised real data provided by the Cyber Crime Division of Greek Police as well as available suicidal notes from social media. The alerting system is intended as a prevention, management tool for automatic detection of suicidal intentions.

Paper Citation

in Harvard Style

Domalis G., Makris C., Vikatos P., Papathanasiou A., Paraskevoulakou E. and Sfakianakis M. (2017). SIAS: Suicidal Intentions Alerting System . In Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-246-2, pages 291-297. DOI: 10.5220/0006297402910297

in Bibtex Style

@conference{webist17,
author={Georgios Domalis and Christos Makris and Pantelis Vikatos and Anastasios Papathanasiou and Efterpi Paraskevoulakou and Manos Sfakianakis},
title={SIAS: Suicidal Intentions Alerting System},
booktitle={Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2017},
pages={291-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006297402910297},
isbn={978-989-758-246-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - SIAS: Suicidal Intentions Alerting System
SN - 978-989-758-246-2
AU - Domalis G.
AU - Makris C.
AU - Vikatos P.
AU - Papathanasiou A.
AU - Paraskevoulakou E.
AU - Sfakianakis M.
PY - 2017
SP - 291
EP - 297
DO - 10.5220/0006297402910297