2026-04-14T22:51:34Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

b92063839d6557b653440247d906f33d257627df8d2614cc743fe1a680f77a86 2025-12-08T01:17:42Z language:enopenaire_data

Dataset: tweets and analysis related to the paper 'Signaling sarcasm: From hyperbole to hashtag' Dataset: tweets and analysis related to the paper 'Signaling sarcasm: From hyperbole to hashtag' doi:10.17026/DANS-2CE-MCR3Radboud MetisID 553771easy-dataset:68191 F.A. Kunneman C.C. Liebrecht M.J.P. van Mulken A.P.J. van den Bosch 2017-01-01 DANS Data Station Social Sciences and Humanities 2017-01-01 Arts and HumanitiesComputer and Information ScienceSocial SciencesTwitterVerbal IronySarcasmMachine LearningDocument classification <p>This dataset features training and test tweets as well as insights into the classifier model related to the paper:</p><p>Kunneman, F.A., Liebrecht, C.C., Mulken, M.J.P. van & Bosch, A.P.J. van den (2015). Signaling sarcasm: From hyperbole to hashtag. Information Processing & Management, 51 (4), 500-509. doi: 10.1016/j.ipm.2014.07.006.</p><p>The tweets used to train and test a model for detecting sarcasm in our study are shared as tweet ids and can be used to query the complete tweets from Twitter. We also include an analysis of the most indicative indicators of sarcasm in tweets.</p><p>The collection period (June 1st until June 30th 2013) relates to the period in which the tweets have been queried from TwiNL (https://twinl.surfsara.nl/), which deviates from the subject period (December 16th 2010 until February 1st 2013).</p>Date: Collection period: start=2013-06-01; end=2013-06-30; https://ssh.datastations.nl/oai doi:10.17026/DANS-2CE-MCR3 2025-12-03T01:00:46Z ddi:codebook:2_5