Linguistic Approach to Suicide Detection
https://doi.org/10.15514/ISPRAS-2014-26(4)-9
Abstract
Suicide is a major, preventable public health problem. Particularly the problem is critical for young people. In Russia every year thousands of teenagers commit suicide. In most of the cases it can be prevented if a risky state is detected. Nowadays internet becomes a major way of communication, mainly in the text form. Therefore we suggest a method to detect a tendency to suicide based on text messages. Our main approach is to study indicators of such condition and based on it use machine learning approach to build a classifier that could determine, whether the person is about to commit a suicide. Our experiments are based on the analysis of texts of Russian writers for past 100 years that committed suicide.
About the Authors
L. Ermakova
Perm State National Research University; Institut de Recherche en Informatique de Toulouse
Russian Federation
Russian Federation
S. Ermakov
Institut de Recherche en Informatique de Toulouse
Russian Federation
Russian Federation
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Review
For citations:
Ermakova L., Ermakov S. Linguistic Approach to Suicide Detection. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2014;26(4):113-122. (In Russ.) https://doi.org/10.15514/ISPRAS-2014-26(4)-9
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