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Authors: Georgios Domalis 1 ; Christos Makris 1 ; Pantelis Vikatos 1 ; Anastasios Papathanasiou 2 ; Efterpi Paraskevoulakou 3 and Manos Sfakianakis 2

Affiliations: 1 University of Patras, Greece ; 2 University of Piraeus and Hellenic Police, Greece ; 3 University of Piraeus, Greece

Keyword(s): Alerting System, Classification Model, Suicidal Intention.

Related Ontology Subjects/Areas/Topics: Social Media Analytics ; Society, e-Business and e-Government ; Web Information Systems and Technologies

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 - WEBIST; ISBN 978-989-758-246-2; ISSN 2184-3252, SciTePress, pages 291-297. DOI: 10.5220/0006297402910297

@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 - WEBIST},
year={2017},
pages={291-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006297402910297},
isbn={978-989-758-246-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Web Information Systems and Technologies - WEBIST
TI - SIAS: Suicidal Intentions Alerting System
SN - 978-989-758-246-2
IS - 2184-3252
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
PB - SciTePress

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