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Volumn , Issue , 2014, Pages 198-202

Columbia NLP: Sentiment Detection of Sentences and Subjective Phrases in Social Media

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS; SENTIMENT ANALYSIS;

EID: 84934944746     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 3
    • 85034054192 scopus 로고    scopus 로고
    • Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining
    • Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Valletta, Malta, may. European Language Resources Association (ELRA)
    • Stefano Baccianella, Andrea Esuli, and Fabrizio Sebastiani. 2010. Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10), Valletta, Malta, may. European Language Resources Association (ELRA).
    • (2010) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
    • Baccianella, Stefano1    Esuli, Andrea2    Sebastiani, Fabrizio3
  • 4
    • 80053418268 scopus 로고    scopus 로고
    • Robust sentiment detection on twitter from biased and noisy data
    • Luciano Barbosa and Junlan Feng. 2010. Robust sentiment detection on twitter from biased and noisy data. In COLING (Posters), pages 36–44.
    • (2010) COLING (Posters) , pp. 36-44
    • Barbosa, Luciano1    Feng, Junlan2
  • 5
    • 78651286606 scopus 로고    scopus 로고
    • Classifying sentiment in microblogs: is brevity an advantage?
    • Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, and Aijun An, editors, pages ACM
    • Adam Bermingham and Alan F. Smeaton. 2010. Classifying sentiment in microblogs: is brevity an advantage? In Jimmy Huang, Nick Koudas, Gareth J. F. Jones, Xindong Wu, Kevyn Collins-Thompson, and Aijun An, editors, CIKM, pages 1833–1836. ACM.
    • (2010) CIKM , pp. 1833-1836
    • Bermingham, Adam1    Smeaton, Alan F.2
  • 7
    • 79953762206 scopus 로고    scopus 로고
    • Twitter sentiment classification using distant supervision
    • Alec Go, Richa Bhayani, and Lei Huang. 2009. Twitter sentiment classification using distant supervision. Processing, pages 1–6.
    • (2009) Processing , pp. 1-6
    • Go, Alec1    Bhayani, Richa2    Huang, Lei3
  • 11
    • 85028156346 scopus 로고    scopus 로고
    • Twitter as a corpus for sentiment analysis and opinion mining
    • Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Valletta, Malta, may. European Language Resources Association (ELRA)
    • Alexander Pak and Patrick Paroubek. 2010. Twitter as a corpus for sentiment analysis and opinion mining. In Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, and Daniel Tapias, editors, Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10), Valletta, Malta, may. European Language Resources Association (ELRA).
    • (2010) Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
    • Pak, Alexander1    Paroubek, Patrick2
  • 14
    • 0003367662 scopus 로고
    • The dictionary of affect in language
    • R. Plutchik and H. Kellerman, editors, London. Acad. Press
    • C. M. Whissel. 1989. The dictionary of affect in language. In R. Plutchik and H. Kellerman, editors, Emotion: theory research and experience, volume 4, London. Acad. Press.
    • (1989) Emotion: theory research and experience , vol.4
    • Whissel, C. M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.