Study title
Dataset: tweets and analysis related to the paper 'Signaling sarcasm: From hyperbole to hashtag'
Creator
Study number / PID
doi:10.17026/dans-2ce-mcr3 (DOI)
Radboud MetisID 553771
easy-dataset:68191 (DANS-KNAW)
Data access
Information not available
Series
Abstract
This dataset features training and test tweets as well as insights into the classifier model related to the paper:
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.
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.
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).
Date: Collection period: start=2013-06-01; end=2013-06-30;
Topics
Keywords
Methodology
Data collection period
Not availableCountry
Time dimension
Not availableAnalysis unit
Not availableUniverse
Not availableSampling procedure
Not availableKind of data
Not availableData collection mode
Not availableAccess
Publisher
DANS Data Station Social Sciences and Humanities
Publication year
2017