Text mining analysis of teachers' reports on student suicide in South Korea.
A teacher as a suicide prevention gatekeeper has an important role in identifying suicide risks and warning signs in students. After a student's suicide, teachers in Korea have to write a student suicide case report based on their direct and indirect observations. In particular, the section 'charact...
| Publicado en: | European Child & Adolescent Psychiatry Vol. 29; no. 4; pp. 453 - 466 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142453065&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142453065 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10188827 EJ3 jtl: European Child & Adolescent Psychiatry issn: 10188827 maglogo: N pubinfo: dt: Apr2020 vid: 29 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142453065 142453065 142453065 10.1007/s00787-019-01361-1 142453065 ppf: 453 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Text mining analysis of teachers' reports on student suicide in South Korea. aug: au: Lee, KangWoo Lee, Dayoung Hong, Hyun Ju affil: Suicide and School Mental Health Institute, Hallym University Sacred Heart Hospital, 22 Gwanpyeong-ro 170 beon-gil, 14068, Dongan-gu, Anyang, South Korea sug: subj: Data Mining Methods Suicide Prevention South Korea Teachers Psychosocial Factors Students Psychosocial Factors Reports Human South Korea Faculty Role Case Studies Sex Factors ab: A teacher as a suicide prevention gatekeeper has an important role in identifying suicide risks and warning signs in students. After a student's suicide, teachers in Korea have to write a student suicide case report based on their direct and indirect observations. In particular, the section 'characteristic of student suicide' of this report contains valuable information about the suicide; however, it is unstructured, and thus cannot be analyzed using conventional statistical methods. We aimed to identify the characteristics of observed Korean students, who have committed suicide, using text mining techniques as well as to improve our understanding of suicidal behaviors in the school contexts. Therefore, a series of text mining techniques: topic analysis, word correlation, and word frequency analysis, in three problem categories: health, school, and family problems, were used to analyze the characteristics of student suicides. Topic analysis showed that only 30% of the student suicide case reports identified problematic student characteristics related to suicide. Correlations between words showed that words in one problem category were often correlated with words in other problem categories. Frequency word analysis showed that the three problem categories varied across gender and school levels. These results provide interesting insights into the characteristics of suicides among Korean students and important implications for suicide intervention in the education field. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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