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

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).

Identifier
DOI https://doi.org/10.17026/dans-2ce-mcr3
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-die3-1t
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:68191
Provenance
Creator Kunneman, F.A.; Liebrecht, C.C.; Mulken, M.J.P. van; Bosch, A.P.J. van den
Publisher Data Archiving and Networked Services (DANS)
Contributor Radboud University
Publication Year 2017
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format txt; xlsx; pdf; ini; csv
Discipline Communication Science; Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Social Sciences; Social and Behavioural Sciences
Spatial Coverage The Netherlands; Flanders