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Volumn , Issue , 2011, Pages 111-115

Twitter for sentiment analysis: When language resources are not available

Author keywords

Affective lexicon; Sentiment analysis; Twitter

Indexed keywords

AFFECTIVE LEXICON; LANGUAGE RESOURCES; MICRO-BLOGGING PLATFORMS; OPINION MINING; POLARITY CLASSIFICATION; SENTIMENT ANALYSIS; SUPERVISED LEARNING METHODS; TWITTER;

EID: 84879744302     PISSN: 15294188     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEXA.2011.86     Document Type: Conference Paper
Times cited : (27)

References (18)
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    • Kim, E.1    Gilbert, S.2    Edwards, M.J.3    Graeff, E.4
  • 13
    • 84970036786 scopus 로고    scopus 로고
    • Annotations for opinion mining evaluation in the industrial context of the doxa project
    • N. C. C. Chair, K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, M. Rosner, and D. Tapias, editors, Valletta, Malta, may, European Language Resources Association (ELRA)
    • P. Paroubek, A. Pak, and D. Mostefa. Annotations for opinion mining evaluation in the industrial context of the doxa project. In N. C. C. Chair), K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, M. Rosner, and D. Tapias, editors, Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10), Valletta, Malta, may 2010. European Language Resources Association (ELRA).
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    • Paroubek, P.1    Pak, A.2    Mostefa, D.3
  • 14
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    • The Spanish adaptation of ANEW (affective norms for English words)
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    • Voll, K.1    Taboada, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.