Suicide detection in social networks
| dc.contributor.author | BOUAFIA, MOHAMED | |
| dc.date.accessioned | 2018-02-22T07:35:22Z | |
| dc.date.available | 2018-02-22T07:35:22Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | Suicide is phenomenon, which has a relevant impact on our society; also it is a major psychological health problem which requires early detection strategies. So the work undertaken within the framework of this research paper related to the realization of a system which makes the detection of suicide possible in social networks, moreover, this system is based on some suicidal tweets that have proved that people who tweeted them has really committed a suicide. | en_US |
| dc.identifier.uri | http://dspace.univ-msila.dz:8080//xmlui/handle/123456789/3013 | |
| dc.language.iso | en | en_US |
| dc.publisher | FACULTY OF MATHEMATICS AND COMPUTER SCIENCE-MOHAMED BOUDIAF UNIVERSITY - M’SILA | en_US |
| dc.subject | detection suicide, social network, tweet classification. | en_US |
| dc.title | Suicide detection in social networks | en_US |
| dc.type | Thesis | en_US |