Semantic clustering and affinity measure of subject-oriented language texts

  • Authors:

  • D. V. Mikhailov;G. M. Emel'Yanov

  • Affiliations:

  • Yaroslav-the-Wise Novgorod State University, Velikii Novgorod, Russia 173003;Yaroslav-the-Wise Novgorod State University, Velikii Novgorod, Russia 173003

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2010

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Abstract

The problem of semantic clustering of subject-oriented natural language texts is discussed. Based on the theory of Formal Concept Analysis, an approach is proposed to determine the measure of semantic affinity of texts.