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Volumn 2, Issue , 2013, Pages 217-221

TopicSpam: A topic-model-based approach for spam detection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84907326472     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (93)

References (25)
  • 5
    • 84907310462 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • Harris Drucke, Donghui Wu, and Vladimir Vapnik. 2002. Support vector machines for spam categorization. In KSz Networks.
    • (2002) KSz Networks
    • Drucke, H.1    Wu, D.2    Vapnik, V.3
  • 7
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • Thorsten Joachims. 1999. Making large-scale support vector machine learning practical. In Advances in kernel methods.
    • (1999) Advances in Kernel Methods
    • Joachims, T.1
  • 15
    • 38849145587 scopus 로고    scopus 로고
    • Electronic word-of-mouth in hospitality and tourism management
    • Stephen Litvina, Ronald Goldsmithb and Bing Pana. 2008. Electronic word-of-mouth in hospitality and tourism management. Tourism management, 29(3):458-468.
    • (2008) Tourism Management , vol.29 , Issue.3 , pp. 458-468
    • Litvina, S.1    Goldsmithb, R.2    Pana, B.3
  • 16
    • 84858041708 scopus 로고    scopus 로고
    • Web spam identification through language model analysis
    • Juan Martinez-Romo and Lourdes Araujo. Web Spam Identification Through Language Model Analysis. In AIR Web. 2009.
    • (2009) AIR Web.
    • Martinez-Romo, J.1    Araujo, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.