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Volumn , Issue , 2011, Pages 280-284

News topic detection based on hierarchical clustering and named entity

Author keywords

agglomerative hierarchical clustering; named entity; news topic detection; vector space model

Indexed keywords

AGGLOMERATIVE HIERARCHICAL CLUSTERING; HIER-ARCHICAL CLUSTERING; INCREMENTAL CLUSTERING; MICRO-CLUSTERS; NAMED ENTITIES; TEXT ANALYSIS; TIME WINDOWS; TOPIC DETECTION; VECTOR SPACE MODEL;

EID: 84863119926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NLPKE.2011.6138209     Document Type: Conference Paper
Times cited : (17)

References (16)
  • 2
    • 84863120607 scopus 로고    scopus 로고
    • Website
    • National Institute of Standards and Technology of America Website, http://www.itl.nist.gov/iad/mig/tests/tdtltasks/detech.html.
  • 7
    • 34548060585 scopus 로고    scopus 로고
    • Named entity: History and future
    • Technical report
    • S. Sekine, Named entity: History and future, Technical report, Proteus Project Report, 2004.
    • (2004) Proteus Project Report
    • Sekine, S.1
  • 10
    • 33750448342 scopus 로고    scopus 로고
    • Hierarchical topic detection in large digital news archives Exploring a sample based approach
    • D. Trieschnigg, W. kraaij, Hierarchical topic detection in large digital news archives Exploring a sample based approach, Journal of Digital Information Management, Vol. 3, 2005.
    • (2005) Journal of Digital Information Management , vol.3
    • Trieschnigg, D.1    Kraaij, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.