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    <identifier>10.57760/sciencedb.16923</identifier>
    <datestamp>2024-07-26T16:37:43Z</datestamp>
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  <dc:date>2024-07-26</dc:date>
  <dc:title>&amp;quot;Research on Fusion Method of Paper and Patent Data Based on Deep Text Clustering&amp;quot; annotated dataset and classification results dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.16923</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The annotated data set is the statistical information of the annotated corpus in this study, counting the number of annotated papers and patents belonging to the subcategory. The classification results data set is the classification details of the paper's research results, representing the sub-topics of each sub-category.</dc:description>
  <dc:subject>Deep text clustering; data fusion; papers and patents; research topic identification</dc:subject>
  <dc:creator>xie shi yao</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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