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Volumn , Issue , 2007, Pages 117-120

CLaC and CLaC-NB: Knowledge-based and corpus-based approaches to sentiment tagging

Author keywords

[No Author keywords available]

Indexed keywords

LANTHANUM COMPOUNDS; LEARNING SYSTEMS; SEMANTICS; TELLURIUM COMPOUNDS;

EID: 84966592581     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (16)
  • 4
    • 84867919822 scopus 로고
    • Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging
    • Eric Brill. 1995. Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging. Computational Linguistics, 21(4).
    • (1995) Computational Linguistics , vol.21 , Issue.4
    • Brill, E.1
  • 15
    • 2442507763 scopus 로고    scopus 로고
    • Measuring praise and criticism: Inference of semantic orientation from association
    • Peter Turney and Michael Littman. 2003. Measuring praise and criticism: inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 21:315-346.
    • (2003) ACM Transactions on Information Systems (TOIS) , vol.21 , pp. 315-346
    • Turney, P.1    Littman, M.2
  • 16
    • 85125365322 scopus 로고    scopus 로고
    • Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences
    • In Michael Collins and Mark Steedman, editors, Sapporo, Japan
    • Hong Yu and Vasileios Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In Michael Collins and Mark Steedman, editors, Proceedings of EMNLP-03, 8th Conference on Empirical Methods in Natural Language Processing, pages 129-136, Sapporo, Japan.
    • (2003) Proceedings of EMNLP-03, 8th Conference on Empirical Methods in Natural Language Processing , pp. 129-136
    • Yu, H.1    Hatzivassiloglou, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.