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Volumn 1, Issue , 2002, Pages 616-620

Chinese web page classification based on statistical word segmentation

Author keywords

Computer network; Machine learning; Statistical word segmentation; Text categorization

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; STATISTICAL METHODS;

EID: 0038344771     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (15)
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    • China Internet Network Information Center. http://www.cnnic.net.cn.
  • 8
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    • Sina Website. http://www.sina.com.cn.
  • 11
    • 84989592173 scopus 로고
    • Chinese text segmentation for text retrieval: Achievements and problems
    • Wu Zimin and Gwyneth Tseng. Chinese text segmentation for text retrieval: achievements and problems. JASIS, 44(9):532-542, 1993.
    • (1993) JASIS , vol.44 , Issue.9 , pp. 532-542
    • Zimin, W.1    Tseng, G.2
  • 12
    • 84958571083 scopus 로고    scopus 로고
    • Discovering Chinese words from unsegmented text
    • Xianping Ge, Wanda Pratt, Padhraic Smyth. Discovering Chinese Words from Unsegmented Text. SIGIR'99, P271-272, 1999.
    • (1999) SIGIR'99 , pp. 271-272
    • Ge, X.1    Pratt, W.2    Smyth, P.3
  • 14
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yiming Yang. An Evaluation of Statistical Approaches to Text Categorization. Journal of Information Retrieval, Vol 1, No. 1/2, pp 67-88, 1999.
    • (1999) Journal of Information Retrieval , vol.1 , Issue.1-2 , pp. 67-88
    • Yang, Y.1
  • 15
    • 0038213230 scopus 로고    scopus 로고
    • Automatic word segmentation methods for the Chinese language
    • Chinese
    • Yin Jianping. Automatic Word Segmentation Methods for the Chinese Language. Computer Engineering and Science, Vol20, NO.3, pp60-66, 1998(Chinese).
    • (1998) Computer Engineering and Science , vol.20 , Issue.3 , pp. 60-66
    • Jianping, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.