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    <identifier>10.57760/sciencedb.32239</identifier>
    <datestamp>2025-12-05T16:25:39Z</datestamp>
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  <dc:date>2025-12-05</dc:date>
  <dc:title>Laptop, Restaurant, and Twitter review texts for aspect-based sentiment classification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.32239</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This file contains three publicly available datasets, with data sourced from user reviews of laptops, restaurants, and Twitter posts. Each piece of data consists of a review text, one or more aspect terms (such as &amp;quot;screen&amp;quot; and &amp;quot;service&amp;quot;), and their corresponding sentiment polarities (Positive/Negative/Neutral). It is suitable for aspect-level sentiment analysis tasks.&amp;nbsp;</dc:description>
  <dc:subject>aspect-based sentiment classification; review text; three-class classification</dc:subject>
  <dc:creator>戴薇</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/publicdomain/zero/1.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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