期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：21
页码：3390-3404
出版社：Journal of Theoretical and Applied
摘要：This research paper discusses computer solutions in the field of detecting and analyzing Internet texts containing suicidal and depressive content in social networks. Experience in the analysis and detection of suicidal messages, self-harming nature, accumulated by research teams in different countries, provides an opportunity to assess progress in this area and the difficulties that must be taken into account when developing solutions for the local Internet content.
关键词：Natural Language Processing;Suicidal Content;Suicidal Ideation Detection;Machine Learning;Social Media
