Comparative Feature Analysis of Academic Societies by Using Text-mining

DOI

Bibliographic Information

Other Title
  • テキストマイニングによる学会の特徴比較分析

Description

Today, because there are many academic societies in the same academic fields, it is essential to differentiate the society from other similar ones. The features of the academic society is thought to be represented by papers published on the journal. However, it is difficult to recognize the differences of the features of societies by comparing manually the contents of large amounts of papers. This study picked up the academic societies related to the field of industrial engineering, and attempted to compare their features quantitatively by using text-mining. We developed a new method to demonstrate the feature of the societies more precisely than existing methods. As a result, we could obtain useful information for understanding the differentiation of academic societies.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390282680685211136
  • NII Article ID
    130005176004
  • DOI
    10.11497/jasmin.2016f.0_79
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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