A data mining tool for the detection of suicide in social networks
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Date
2017
Authors
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Publisher
Faculté des Mathématiques et de l’Informatique - Université Mohamed BOUDIAF - M’sila
Abstract
Suicide is a major health concern worldwide, mostly in adolescents and young adults. Popping up technologies represent an encouraging approach for find people who intend to commit suicide. So in this work we have proposed a system to detect suicidal tweets that can be published by people who suspect by their suicidal intentions. To realize this system we used the Python language, and libraries like Textblob and NLTK.
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Keywords
Suicide detection, social networking, data mining, text classification