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A survey and comparative study of tweet sentiment analysis via semi-supervised learning (2016)

  • Authors:
  • USP affiliated authors: HRUSCHKA, EDUARDO RAUL - ICMC
  • USP Schools: ICMC
  • DOI: 10.1145/2932708
  • Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL
  • Keywords: Co-training; self-training; semi-supervised learning; topic modeling; tweet sentiment analysis
  • Language: Inglês
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    Informações sobre o DOI: 10.1145/2932708 (Fonte: oaDOI API)
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    Versões disponíveis em Acesso Aberto do: 10.1145/2932708 (Fonte: Unpaywall API)

    Título do periódico: ACM Computing Surveys

    ISSN: 0360-0300



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  • Título: ACM Computing Surveys

    ISSN: 0360-0300

    Citescore - 2017: 11.53

    SJR - 2017: 1.631

    SNIP - 2017: 5.783


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    • ABNT

      SILVA, Nádia Felix F. da; COLETTA, Luiz F. S; HRUSCHKA, Eduardo Raul. A survey and comparative study of tweet sentiment analysis via semi-supervised learning. ACM Computing Surveys, New York, ACM, v. 49, n. Ju 2016, p. 15:1-15:26, 2016. Disponível em: < http://dx.doi.org/10.1145/2932708 > DOI: 10.1145/2932708.
    • APA

      Silva, N. F. F. da, Coletta, L. F. S., & Hruschka, E. R. (2016). A survey and comparative study of tweet sentiment analysis via semi-supervised learning. ACM Computing Surveys, 49( Ju 2016), 15:1-15:26. doi:10.1145/2932708
    • NLM

      Silva NFF da, Coletta LFS, Hruschka ER. A survey and comparative study of tweet sentiment analysis via semi-supervised learning [Internet]. ACM Computing Surveys. 2016 ; 49( Ju 2016): 15:1-15:26.Available from: http://dx.doi.org/10.1145/2932708
    • Vancouver

      Silva NFF da, Coletta LFS, Hruschka ER. A survey and comparative study of tweet sentiment analysis via semi-supervised learning [Internet]. ACM Computing Surveys. 2016 ; 49( Ju 2016): 15:1-15:26.Available from: http://dx.doi.org/10.1145/2932708

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    Xiaojin Zhu and Andrew B. Goldberg. 2007. Kernel regression with order preferences. Proc. Natl. Conf. Artif. Intell. 22, 1 (2007), 681.
    Xiaojin Zhu and Andrew B. Goldberg. 2009. Introduction to Semi-Supervised Learning. Morgan & Claypool Publishers, London.
    Xiaojin Zhu, Andrew B. Goldberg, Ronald Brachman, and Thomas Dietterich. 2009. Introduction to Semi-Supervised Learning. Morgan and Claypool Publishers, London.
    Xiaodan Zhu, Svetlana Kiritchenko, and Saif Mohammad. 2014. NRC-Canada-2014: Recent improvements in the sentiment analysis of tweets. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014). Association for Computational Linguistics and Dublin City University, Dublin, Ireland, 443--447.
    Xiaojin Zhu, John Lafferty, and Zoubin Ghahramani. 2003. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions. In ICML 2003 Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining. 58--65.