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    <identifier>10.57760/sciencedb.31391</identifier>
    <datestamp>2025-11-24T16:13:29Z</datestamp>
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  <dc:date>2025-11-24</dc:date>
  <dc:title>Sentiment classification of financial social media text</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.31391</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>It is &amp;nbsp;a financial social media text sentiment classification dataset. Given financial social media text, the model needs to classify the sentiment of the text into negative-neutral positive categories, with evaluation measured by accuracy. It is sourced from posts by stockhold ers and bloggers on the Stockbar and Xueqiu websites, categorized as &amp;ldquo;积极 (positive)&amp;rdquo;, &amp;ldquo;中性 (neutral)&amp;rdquo;, and &amp;ldquo;消极 (negative)&amp;rdquo;.&amp;nbsp;</dc:description>
  <dc:subject>NLP; finance;  low-resource language</dc:subject>
  <dc:creator>Siqi Lv</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
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  <dc:publisher>Science Data Bank</dc:publisher>
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