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Combining semantic and term frequency similarities for text clustering (2019)

  • Authors:
  • Unidades: ICMC; ICMC
  • DOI: 10.1007/s10115-018-1278-7
  • Keywords: Document clustering; Similarity measure; Semantic similarity; Text mining
  • Agências de fomento:
  • Language: Inglês
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  • Online source accessDOI
    Informações sobre o DOI: 10.1007/s10115-018-1278-7 (Fonte: oaDOI API)
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    • ABNT

      SOARES, Victor Hugo Andrade; CAMPELLO, Ricardo José Gabrielli Barreto; NOURASHRAFEDDIN, Seyednaser; MILIOS, Evangelos; NALDI, Murilo Coelho. Combining semantic and term frequency similarities for text clustering. Knowledge and Information Systems, London, Springer, v. 61, n. 3, p. 1485-1516, 2019. Disponível em: < http://dx.doi.org/10.1007/s10115-018-1278-7 > DOI: 10.1007/s10115-018-1278-7.
    • APA

      Soares, V. H. A., Campello, R. J. G. B., Nourashrafeddin, S., Milios, E., & Naldi, M. C. (2019). Combining semantic and term frequency similarities for text clustering. Knowledge and Information Systems, 61( 3), 1485-1516. doi:10.1007/s10115-018-1278-7
    • NLM

      Soares VHA, Campello RJGB, Nourashrafeddin S, Milios E, Naldi MC. Combining semantic and term frequency similarities for text clustering [Internet]. Knowledge and Information Systems. 2019 ; 61( 3): 1485-1516.Available from: http://dx.doi.org/10.1007/s10115-018-1278-7
    • Vancouver

      Soares VHA, Campello RJGB, Nourashrafeddin S, Milios E, Naldi MC. Combining semantic and term frequency similarities for text clustering [Internet]. Knowledge and Information Systems. 2019 ; 61( 3): 1485-1516.Available from: http://dx.doi.org/10.1007/s10115-018-1278-7

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