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<dc:title>TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets (Part 11, Jan 2022 - Aug 2022)</dc:title>
<dc:creator>Baran, Erdal,  GESIS - Leibniz-Institut f&#252;r Sozialwissenschaften</dc:creator>
<dc:creator>Bensmann, Felix,  GESIS - Leibniz-Institut f&#252;r Sozialwissenschaften</dc:creator>
<dc:creator>Dietze, Stefan,  GESIS - Leibniz-Institut f&#252;r Sozialwissenschaften &amp; Heinrich-Heine-University D&#252;sseldorf, Germany &amp; L3S Research Center, Hannover, Germany</dc:creator>
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<dc:identifier>10.7802/2473</dc:identifier>
<dc:identifier>10.7802/2473</dc:identifier>
<dc:identifier>10.7802/2473</dc:identifier>
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<dc:date>2022</dc:date>
<dc:language>de</dc:language>
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<dc:description><![CDATA[TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for nearly 3.0 billion tweets, spanning more than 9 years (February 2013 - August 2022). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established RDF/S vocabularies. For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets. For a list of the previous dataset parts, example queries and more information see the TweetsKB's home page: https://data.gesis.org/tweetskb/.]]></dc:description>
<dc:description><![CDATA[TweetsKB is a public RDF corpus of anonymized data for a large collection of annotated tweets. The dataset currently contains data for nearly 3.0 billion tweets, spanning more than 9 years (February 2013 - August 2022). Metadata information about the tweets as well as extracted entities, sentiments, hashtags, user mentions and URLs are exposed in RDF using established RDF/S vocabularies. For the sake of privacy, we anonymize user IDs and we do not provide the text of the tweets. For a list of the previous dataset parts, example queries and more information see the TweetsKB's home page: https://data.gesis.org/tweetskb/.]]></dc:description>
<dc:coverage>a 1% sample of all tweets from Jan 2022 until Aug 2022</dc:coverage>
<dc:contributor>GESIS Data Archive for the Social Sciences</dc:contributor>
<dc:publisher>GESIS Data Archive</dc:publisher>
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