2026-10-15T09:17:39Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

44aa7217c8e01e070a24762a4179f5d0e0342c7d6c70c36ac2a9e968e1650300 2026-06-02T13:49:49Z language:enopenaire_data

10.7802/2473 https://search.gesis.org/research_data/SDN-10.7802-2473?lang=dehttps://search.gesis.org/research_data/SDN-10.7802-2473?lang=en TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets (Part 11, Jan 2022 - Aug 2022) Baran, ErdalBaran, ErdalBensmann, FelixBensmann, FelixDietze, StefanDietze, Stefan 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/.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/. twitterdiscoursesocial mediatext analysistwitterdiscoursesocial mediatext analysis en 2022 Dataset http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2473 2024-10-19 ddi:codebook:2_5