Dataset: Events and periodicity analysis related to the paper 'Automatically identifying periodic social events from Twitter'

DOI

This dataset features information on all the events that were automatically extracted from Twitter and used as input to periodicity detection, as described in the paper:F. Kunneman and A. Van den Bosch (2015), Automatically identifying periodic social events from Twitter, Proceedings of the RANLP 2015 (pp. 320-328), http://hdl.handle.net/2066/143994The paper describes approaches to identifying periodic events in Twitter. This dataset contains the output of these approaches, as well as a human assessment of the quality of a selection of the output. Apart from information on all the events, tweet ids are shared that can be used to query the tweets and all their meta-data from Twitter.

Files not yet migrated to Data Station. Files for this dataset can be found at https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:68189.

Identifier
DOI https://doi.org/10.17026/dans-xn5-wq59
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-xn5-wq59
Provenance
Creator F.A. Kunneman; A.P.J. van den Bosch
Publisher DANS Data Station Phys-Tech Sciences
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 application/zip
Size 15165
Version 1.0
Discipline Other