Text-mining based journal splitting

  • Authors:
  • Xiaofan Lin

  • Affiliations:
  • -

  • Venue:
  • ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
  • Year:
  • 2003

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Abstract

This paper introduces a novel journal splittingalgorithm. It takes full advantage of various kinds ofinformation such as text match, layout and page numbers.The core procedure is a highly efficient text-miningalgorithm, which detects the matched phrases between thecontent pages and the title pages of individual articles.Experiments show that this algorithm is robust and ableto split a wide range of journals, magazines and books.