Dataset: tweets and analysis related to the paper 'Signaling sarcasm: From hyperbole to hashtag'

DOI

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;

Identifier
DOI https://doi.org/10.17026/dans-2ce-mcr3
Metadata Access https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-2ce-mcr3
Provenance
Creator F.A. Kunneman; C.C. Liebrecht; M.J.P. van Mulken; A.P.J. van den Bosch
Publisher DANS Data Station Social Sciences and Humanities
Contributor RU Radboud University
Publication Year 2017
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact RU Radboud University
Representation
Resource Type Dataset
Format text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream; application/zip; application/pdf; text/plain
Size 1969; 43028; 144; 21511; 56107; 48998208; 42691176; 7549586
Version 2.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences