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Volumn , Issue , 2009, Pages 179-184

Clustering semantic spaces of suicide notes and newsgroups articles

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MACHINE LEARNING; SEMANTICS;

EID: 85085684782     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (16)
  • 8
    • 0003783642 scopus 로고
    • John Hopkins University Press, Baltimore, MD
    • R. Maris. 1981. Pathways to suicide. John Hopkins University Press, Baltimore, MD.
    • (1981) Pathways to suicide
    • Maris, R.1
  • 9
    • 45149124808 scopus 로고
    • Some characteristics of genuine versus simulated suicide notes
    • D Ogilvie, P. Stone, and E. Shneidman. 1969. Some characteristics of genuine versus simulated suicide notes. Bulletin of Suicidology, 1:17-26.
    • (1969) Bulletin of Suicidology , vol.1 , pp. 17-26
    • Ogilvie, D1    Stone, P.2    Shneidman, E.3
  • 13
    • 85121843272 scopus 로고
    • Clues to Suicide. McGraw Hill Paperbacks. Noam Slonim, Nir Friedman, and Naftali Tishby. 2002. Unsupervised document classification using sequential information maximization
    • E Shneidman and N Farberow. 1957. Clues to Suicide. McGraw Hill Paperbacks. Noam Slonim, Nir Friedman, and Naftali Tishby. 2002. Unsupervised document classification using sequential information maximization. In Proceedings of the 25th International ACM SIGIR Conference on Research and Development in InformationRetrieval, pages 129-136.
    • (1957) Proceedings of the 25th International ACM SIGIR Conference on Research and Development in InformationRetrieval , pp. 129-136
    • Shneidman, E1    Farberow, N2
  • 16
    • 0346984140 scopus 로고    scopus 로고
    • World Health Organization, pages World Health Organization, Geneva
    • World Health Organization, 2001. Burden of mental and behavioral disorders, pages 19-45. World Health Organization, Geneva.
    • (2001) Burden of mental and behavioral disorders , pp. 19-45


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.