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    <identifier>10.57760/sciencedb.02724</identifier>
    <datestamp>2023-02-13T11:17:07Z</datestamp>
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  <dc:date>2023-02-13</dc:date>
  <dc:title>期刊文献自动分类应用于跨学科测度的数据集</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.02724</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>本数据是投《数据分析与知识发现》关于基于文献自动分类的跨学科测度研究的经过数据预处理后的实验数据集。数据集共6162条样本量，每条样本代表一篇期刊论文，包含其摘要内容和对摘要进行简洁处理后的文本，以及所属一级学科类别标签。</dc:description>
  <dc:subject>自动分类; 文本分类; 跨学科测度; 跨学科研究</dc:subject>
  <dc:creator>Ying Huang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11925/infotech.2096-3467.2022.0676</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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