research data . Dataset . 2017 . Embargo end date: 19 Jan 2017

Dataset: tweets and events linked to the paper 'Open-domain extraction of future events from Twitter'

Kunneman, F.A.; Bosch, A.P.J. Van Den;
Open Access Dutch; Flemish
  • Published: 01 Jan 2017
  • Publisher: Data Archiving and Networked Services (DANS)
Abstract
Input data and output of research conducted in the study described in the paper: F. Kunneman and A. Van den Bosch (2016), Open-domain extraction of future events from Twitter, Natural Language Engineering, doi: 10.1017/S1351324916000036 The paper describes a system that extracts future referring time expressions and entities from Twitter messages, and subsequently detects events as a pair of a date and entity the are often mentioned in the same tweet. This dataset features the ids of a large set of Dutch tweets posted in August 2014, which was used as input to the system, as well as the time expression and / or entity that was extracted from each tweet, if any. ...
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Subjects
free text keywords: Computer science, Natural Language Processing, Twitter, Event detection, Information extraction, Temporal coverage: start=2014-08-01; end=2014-09-30, Temporal coverage start 2014 08 01 end 2014 09 30, Computer Sciencey, Natural Language Processing; Twitter; Event detection; Information extraction
Communities
Social Science and Humanities
Digital Humanities and Cultural Heritage
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Dataset . 2017
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Dataset . 2017
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