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    <datestamp>2023-11-10T15:51:59Z</datestamp>
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  <dc:date>2023-11-10</dc:date>
  <dc:title>Experimental data sets</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00349</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Firstly, preprocess the comment data, then use word frequency and word cloud analysis methods to extract product features from the comments, analyze consumers' preferences for product attributes, and finally construct an online comment sentiment analysis model to classify consumer comments.&amp;nbsp;</dc:description>
  <dc:subject>user reviews; sentiment analysis; margin sampling; tri-training</dc:subject>
  <dc:creator>zhang ting</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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