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Volumn , Issue , 2015, Pages 99-107

Beyond LDA: Exploring Supervised Topic Modeling for Depression-Related Language in Twitter

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SIGNAL ANALYSIS;

EID: 85110621337     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (187)

References (28)
  • 10
    • 77951646429 scopus 로고    scopus 로고
    • A Bayesian hierarchical topic model for political texts: Measuring expressed agendas in Senate press releases
    • Justin Grimmer. 2010. A Bayesian hierarchical topic model for political texts: Measuring expressed agendas in Senate press releases. Political Analysis, 18(1):1–35.
    • (2010) Political Analysis , vol.18 , Issue.1 , pp. 1-35
    • Grimmer, Justin1
  • 13
    • 84919688096 scopus 로고    scopus 로고
    • Food for thought: understanding the value, variety and usage of management algorithms for major depressive disorder
    • Martin A Katzman, Leena Anand, Melissa Furtado, and Pratap Chokka. 2014. Food for thought: understanding the value, variety and usage of management algorithms for major depressive disorder. Psychiatry research, 220:S3–S14.
    • (2014) Psychiatry research , vol.220 , pp. S3-S14
    • Katzman, Martin A1    Anand, Leena2    Furtado, Melissa3    Chokka, Pratap4
  • 15
    • 85122804432 scopus 로고    scopus 로고
    • Major depression fact sheet, April
    • NAMI. 2013. Major depression fact sheet, April. http://www.nami.org/Template.cfm?Section=depression.
    • (2013)
  • 16
    • 84865545929 scopus 로고    scopus 로고
    • Proactive screening for depression through metaphorical and automatic text analysis
    • September
    • Yair Neuman, Yohai Cohen, Dan Assaf, and Gabbi Kedma. 2012. Proactive screening for depression through metaphorical and automatic text analysis. Artif. Intell. Med., 56(1):19–25, September.
    • (2012) Artif. Intell. Med , vol.56 , Issue.1 , pp. 19-25
    • Neuman, Yair1    Cohen, Yohai2    Assaf, Dan3    Kedma, Gabbi4
  • 20
    • 84924360528 scopus 로고    scopus 로고
    • Using topic modeling to improve prediction of neuroticism and depression in college students
    • Seattle, Washington, USA, October. Association for Computational Linguistics
    • Philip Resnik, Anderson Garron, and Rebecca Resnik. 2013. Using topic modeling to improve prediction of neuroticism and depression in college students. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1348–1353, Seattle, Washington, USA, October. Association for Computational Linguistics.
    • (2013) Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing , pp. 1348-1353
    • Resnik, Philip1    Garron, Anderson2    Resnik, Rebecca3
  • 24
    • 10944248381 scopus 로고    scopus 로고
    • Language use of depressed and depression-vulnerable college students
    • Stephanie Rude, Eva-Maria Gortner, and James Pennebaker. 2004. Language use of depressed and depression-vulnerable college students. Cognition & Emotion, 18(8):1121–1133.
    • (2004) Cognition & Emotion , vol.18 , Issue.8 , pp. 1121-1133
    • Rude, Stephanie1    Gortner, Eva-Maria2    Pennebaker, James3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.