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Volumn , Issue , 2015, Pages 746-755

Is your anchor going up or down? Fast and accurate supervised topic models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; VECTOR SPACES;

EID: 84960110692     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/n15-1076     Document Type: Conference Paper
Times cited : (19)

References (37)
  • 8
    • 34147148981 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • Jerome Friedman, Trevor Hastie, and Robert Tibshirani. 1998. Additive logistic regression: a statistical view of boosting. Annals of Statistics, 28:2000.
    • (1998) Annals of Statistics , vol.28 , pp. 2000
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 24
    • 84865237508 scopus 로고    scopus 로고
    • Statistical topic models for multi-label document classification
    • July
    • Timothy N. Rubin, America Chambers, Padhraic Smyth, and Mark Steyvers. 2012. Statistical topic models for multi-label document classification. Journal of Machine Learning Research, 88(1-2):157-208, July.
    • (2012) Journal of Machine Learning Research , vol.88 , Issue.1-2 , pp. 157-208
    • Rubin, T.N.1    Chambers, A.2    Smyth, P.3    Steyvers, M.4
  • 32
    • 77956195200 scopus 로고    scopus 로고
    • Latent aspect rating analysis on review text data: A rating regression approach
    • Hongning Wang, Yue Lu, and Chengxiang Zhai. 2010. Latent aspect rating analysis on review text data: a rating regression approach. In Knowledge Discovery and Data Mining.
    • (2010) Knowledge Discovery and Data Mining
    • Wang, H.1    Lu, Y.2    Zhai, C.3
  • 33
    • 70350681184 scopus 로고    scopus 로고
    • Efficient methods for topic model inference on streaming document collections
    • Limin Yao, David Mimno, and Andrew McCallum. 2009. Efficient methods for topic model inference on streaming document collections. In Knowledge Discovery and Data Mining.
    • (2009) Knowledge Discovery and Data Mining
    • Yao, L.1    Mimno, D.2    McCallum, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.