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Data · dataset · 2017

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

Listed in DANS Data Station Physical and Technical Sciences

Description

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), hdl.handle.net/2066/143994 The 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.

Links

Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-XN5-WQ5910 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
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concepts[field].local:field:social-sciencemapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
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descriptionsource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/description
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