Twitter Titling Corpus

DOI

The Twitter Titling Corpus contains 4002 stance-annotated tweets collected between 20 June 2017 and 30 August 2017 mentioning 6 presidents. Each tweet is annotated for the naming form used to refer to the president, for the purpose of a study on the relation between naming variation and stance (cited below). This data is to be used for research purposes only. Columns

tweet_id: id of the tweet president: person entity mentioned in the tweet who was president at the time of collection country: country the president was president of at the time of collection stance: positive, neutral or negative sentiment towards the president naming form: form used to refer to president out of

first-name (FN) last-name (LN) first-name last-name (FNLN) title last-name (TLN) title first-name last-name (TFNLN)

Identifier
DOI https://doi.org/10.11588/data/IOHXDF
Related Identifier https://www.aclweb.org/anthology/W19-2101
Metadata Access https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/IOHXDF
Provenance
Creator van den Berg, Esther (Leibniz Institute for the German Language / Department of Computational Linguistics, Heidelberg University); Korfhage, Katharina (Department of Computational Linguistics, Heidelberg University); Ruppenhofer, Josef (Leibniz Institute for the German Language); Wiegand, Michael (Leibniz Institute for the German Language); Markert, Katja (Department of Computational Linguistics, Heidelberg University)
Publisher heiDATA
Contributor van den Berg, Esther
Publication Year 2019
Rights Licensed under a <a href='http://creativecommons.org/licenses/by-sa/4.0/'>Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). &#160;<img src='https://i.creativecommons.org/l/by-sa/4.0/80x15.png' alt='CC by sa' /></a> <p>&nbsp;</p> This data is to be used for research purposes only.; info:eu-repo/semantics/openAccess
OpenAccess true
Contact van den Berg, Esther (Leibniz Institute for the German Language / Department of Computational Linguistics, Heidelberg University)
Representation
Resource Type textual data, CSV text file format; Dataset
Format text/tab-separated-values
Size 224221
Version 1.2
Discipline Humanities