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Volumn 1096, Issue , 2013, Pages 47-58

Potential and limitations of commercial sentiment detection tools

Author keywords

Classification; Corpus analytics; Machine learning; Opinion mining; Sentiment detection

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION);

EID: 84922986343     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (24)
  • 3
    • 72449188210 scopus 로고    scopus 로고
    • A study of inter-annotator agreement for opinion retrieval
    • July 19-23, 2009, Boston, Massachusetts, USA
    • Adam Bermingham and Alan F. Smeaton: A Study of Inter-Annotator Agreement for Opinion Retrieval. In: SIGIR'09, July 19-23, 2009, Boston, Massachusetts, USA (2009)
    • (2009) SIGIR'09
    • Bermingham, A.1    Smeaton, A.F.2
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests
    • Leo Breiman: Random Forests. Machine Learning 45(1), 5-32 (2001)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 23
    • 33644632271 scopus 로고    scopus 로고
    • Annotating Expressions of Opinions and Emotions in Language
    • Janyce Wiebe, Theresa Wilson, and Claire Cardie: Annotating Expressions of Opinions and Emotions in Language. Language Resources and Evaluation 2005, Volume 39, Issue 2-3, pp 165-210 (2005)
    • (2005) Language Resources and Evaluation 2005 , vol.39 , Issue.2-3 , pp. 165-210
    • Wiebe, J.1    Wilson, T.2    Cardie, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.