Sarcastic Soulmates: Intimacy and irony markers in social media messaging

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.

Identifier
DOI https://doi.org/10.17026/dans-24j-68qr
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-o2a6-6k
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:65746
Provenance
Creator Kunneman, FA
Publisher Data Archiving and Networked Services (DANS)
Contributor Hallmann, K
Publication Year 2016
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Language Dutch; Flemish
Resource Type Dataset
Format .txt; .xlsx
Discipline Humanities; Linguistics
Spatial Coverage The Netherlands