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Volumn 2, Issue , 2004, Pages 483-488

Pruning the vocabulary for better context recognition

Author keywords

[No Author keywords available]

Indexed keywords

CONTEXT RECOGNITION; DATA-SETS; TEXT CLASSIFICATION; VOCABULARY;

EID: 10044253043     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334270     Document Type: Conference Paper
Times cited : (27)

References (32)
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    • Supervised term weighting for automated text categorization
    • Melbourne, US. ACM Press, New York, US
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    • (2003) Proceedings of SAC-03, 18th ACM Symposium on Applied Computing , pp. 784-788
    • Debole, F.1    Sebastiani, F.2
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    • A comparison of word- And sense-based text categorization using several classification algorithms
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    • (2003) Journal of Intelligent Information Systems , vol.21 , Issue.3 , pp. 227-247
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    • Independent component analysis for understanding multimedia content
    • S. Bengio J. Larsen H. Bourlard, T. Adali and S. Douglas, editors Piscataway, New Jersey. IEEE Press
    • T. Kolenda, L.K. Hansen, J. Larsen, and O. Winther. Independent component analysis for understanding multimedia content. In S. Bengio J. Larsen H. Bourlard, T. Adali and S. Douglas, editors. Proceedings of IEEE Workshop on Neural Networks for Signal Processing XII, pages 757-766, Piscataway, New Jersey, 2002. IEEE Press.
    • (2002) Proceedings of IEEE Workshop on Neural Networks for Signal Processing , vol.12 , pp. 757-766
    • Kolenda, T.1    Hansen, L.K.2    Larsen, J.3    Winther, O.4
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    • Machine learning in automated text categorization
    • F. Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34:1-47, 2002.
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    • Using LSI for text classification in the presence of background text
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