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Volumn , Issue , 2010, Pages 50-55

Topic detection in noisy data sources

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENT DOMAINS; LATENT DIRICHLET ALLOCATIONS; NOISY DATA; REAL WORLD DATA; TOPIC DETECTION;

EID: 78650930790     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDIM.2010.5664202     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 3
    • 84864054097 scopus 로고    scopus 로고
    • Modeling general and specific aspects of documents with a probabilistic topic model
    • C. Chemudugunta, P. Smyth, and M. Steyvers. Modeling general and specific aspects of documents with a probabilistic topic model. In NIPS, pages 241-48, 2005.
    • (2005) NIPS , pp. 241-248
    • Chemudugunta, C.1    Smyth, P.2    Steyvers, M.3
  • 4
    • 4344680632 scopus 로고    scopus 로고
    • Topcat: Data mining for topic identification in a text corpus
    • C. Clifton, R. Cooley, and J. Rennie. Topcat: Data mining for topic identification in a text corpus. In TKDE 16(8), pages 949-964, 2004.
    • (2004) TKDE , vol.16 , Issue.8 , pp. 949-964
    • Clifton, C.1    Cooley, R.2    Rennie, J.3
  • 7
    • 35148889228 scopus 로고    scopus 로고
    • Keywords extraction based on tf/idf for chinese news document
    • J. Li, Q. Fan, and K. Zhang. Keywords extraction based on tf/idf for chinese news document. Wuhan University Journal of Natural Sciences, 12(7), pages 917-921, 2007.
    • (2007) Wuhan University Journal of Natural Sciences , vol.12 , Issue.7 , pp. 917-921
    • Li, J.1    Fan, Q.2    Zhang, K.3
  • 8
    • 35348882767 scopus 로고    scopus 로고
    • Topic sentiment mixture: Modeling facets and opinions in weblogs
    • New York, NY, USA, ACM
    • Q. Mei, X. Ling, M.Wondra, H. Su, and C. Zhai. Topic sentiment mixture: modeling facets and opinions in weblogs. In WWW, pages 171-180, New York, NY, USA, 2007. ACM.
    • (2007) WWW , pp. 171-180
    • Mei, Q.1    Ling, X.2    Wondra, M.3    Su, H.4    Zhai, C.5
  • 11
    • 57849155353 scopus 로고    scopus 로고
    • Topic detection by clustering keywords
    • C. Wartena and R. Brussee. Topic detection by clustering keywords. In DEXA, pages 54-58, 2008.
    • (2008) DEXA , pp. 54-58
    • Wartena, C.1    Brussee, R.2
  • 12
    • 34447336373 scopus 로고    scopus 로고
    • Employing latent dirichlet allocation for fraud detection in telecommunications
    • October
    • D. Xing and M. Girolami. Employing latent dirichlet allocation for fraud detection in telecommunications. Pattern Recognition Letters, 28(13):1727-1734, October 2007.
    • (2007) Pattern Recognition Letters , vol.28 , Issue.13 , pp. 1727-1734
    • Xing, D.1    Girolami, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.