메뉴 건너뛰기




Volumn , Issue , 2011, Pages 487-496

Word cloud model for text categorization

Author keywords

Centroid based classification; Text categorization

Indexed keywords

CLASSIFICATION PERFORMANCE; CLOUD MODELS; CLOUD VISUALIZATION; DATA SETS; DESIGN GOAL; DISTRIBUTION PROPERTY; DOCUMENT VECTORS; INDIVIDUAL DIMENSIONS; KULLBACK LEIBLER DIVERGENCE; MULTI-CLASS; PROBABILITY RATIO; PROTOTYPE VECTORS; RATE OF CHANGE; TEXT CATEGORIZATION; TEXT CLASSIFICATION; TRAINING PHASE;

EID: 84857176386     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.156     Document Type: Conference Paper
Times cited : (13)

References (17)
  • 1
    • 0001199215 scopus 로고
    • A general class of coefficients of divergence of one distribution from another
    • S. M. Ali and S. D. Silvey. A general class of coefficients of divergence of one distribution from another. Journal of the Royal Statistical Society, pages 131-142, 1966.
    • (1966) Journal of the Royal Statistical Society , pp. 131-142
    • Ali, S.M.1    Silvey, S.D.2
  • 2
    • 84937182157 scopus 로고    scopus 로고
    • Recognizing subjectivity: A case study in manual tagging
    • R. F. Bruce and J. M. Wiebe. Recognizing subjectivity: a case study in manual tagging. Natural Language Engineering, 5:187-205, 1999.
    • (1999) Natural Language Engineering , vol.5 , pp. 187-205
    • Bruce, R.F.1    Wiebe, J.M.2
  • 9
    • 0034785267 scopus 로고    scopus 로고
    • A statistical learning model of text classification with support vector machines
    • T. Joachims. A statistical learning model of text classification with support vector machines. In Proc. of ACM SIGIR, pages 128-136, 2001.
    • (2001) Proc. of ACM SIGIR , pp. 128-136
    • Joachims, T.1
  • 10
    • 62249199807 scopus 로고    scopus 로고
    • Supervised and traditional term weighting methods for automatic text categorization
    • M. Lan, C. L. Tan, J. Su, and Y. Lu. Supervised and traditional term weighting methods for automatic text categorization. Pattern Analysis and Machine Intelligence, 31:721-735, 2009.
    • (2009) Pattern Analysis and Machine Intelligence , vol.31 , pp. 721-735
    • Lan, M.1    Tan, C.L.2    Su, J.3    Lu, Y.4
  • 12
    • 84957069091 scopus 로고    scopus 로고
    • Naive (bayes) at forty: The independence assumption in information retrieval
    • London, UK. Springer- Verlag
    • D. D. Lewis. Naive (bayes) at forty: The independence assumption in information retrieval. In ECML '98: Proceedings of the 10th European Conference on Machine Learning, pages 4-15, London, UK, 1998. Springer-Verlag.
    • (1998) ECML '98: Proceedings of the 10th European Conference on Machine Learning , pp. 4-15
    • Lewis, D.D.1
  • 15
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • B. Pang and L. Lee. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of the ACL, 2004.
    • (2004) Proceedings of the ACL
    • Pang, B.1    Lee, L.2
  • 16
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • J. R. Quinlan and R. L. Rivest. Inferring decision trees using the minimum description length principle. Inf. Comput., 80(3):227-248, 1989.
    • (1989) Inf. Comput. , vol.80 , Issue.3 , pp. 227-248
    • Quinlan, J.R.1    Rivest, R.L.2
  • 17
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani. Machine learning in automated text categorization. ACM Comput. Surv., 34(1):1-47, 2002.
    • (2002) ACM Comput. Surv. , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.