データサイエンスの中のテキストマイニング

DOI

書誌事項

タイトル別名
  • Text mining in Data Science

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説明

<p>This paper explains text mining and it’s practical uses according to three types and stages of data science: 1) VISUALIZATION , 2) ANALYSIS, 3) Predictive analytics (MODELING).VISUALIZATION is visualization of the characteristics of the data, and these include: web analysis, co-occurrence tables, and (reference) frequency analysis. ANALYSIS uses statistical techniques for the results of text mining. Predictive analytics (Modeling) uses a variety of techniques from machine learning to make predictions about the future. There exists author discrimination by decision tree and neural network, and Text classification by modeling method.</p>

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390001288107117696
  • NII論文ID
    130007553086
  • DOI
    10.11207/taaos.7.2_209
  • ISSN
    21868530
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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