A data mining tool for the detection of suicide in social networks
| dc.contributor.author | Bensaoucha, Yassine | |
| dc.date.accessioned | 2018-02-04T08:40:45Z | |
| dc.date.available | 2018-02-04T08:40:45Z | |
| dc.date.issued | 2017 | |
| dc.description.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. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/2208 | |
| dc.language.iso | en | en_US |
| dc.publisher | Faculté des Mathématiques et de l’Informatique - Université Mohamed BOUDIAF - M’sila | en_US |
| dc.subject | Suicide detection, social networking, data mining, text classification | en_US |
| dc.title | A data mining tool for the detection of suicide in social networks | en_US |
| dc.type | Thesis | en_US |