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      Sarcastic Soulmates: Intimacy and irony markers in social media messaging

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      Creators
      Kunneman, F.A.
      Hallmann, K.
      Date of Archiving
      2016
      Archive
      DANS EASY
      Related links
      https://easy.dans.knaw.nl/ui/rest/datasets/easy-dataset:65746
      DOI
      https://doi.org/10.17026/dans-24j-68qr
      Publication type
      Dataset
      Access level
      Open access
      Please use this identifier to cite or link to this item: https://hdl.handle.net/2066/226426   https://hdl.handle.net/2066/226426
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      Organization
      CLST_Centre for Language and Speech Technology
      Audience(s)
      Language and literature studies
      Key words
      Twitter; Verbal Irony; Evaluative markers; 16/12/2010 - 31/01/2013
      Abstract
      We research the use of sarcasm on Twitter, and show that a computer has more difficulty to detect sarcasm shared among peers than sarcasm shared with any interested audience. This data set features the data used for training machine learning classifiers, and annotations of the output.
      This item appears in the following Collection(s)
      • Datasets [1528]
      • Faculty of Arts [28951]
       
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