Annotating if authors of tweets are located in the locations they tweet about

Vivek Doudagiri, Alakananda Vempala, Eduardo Blanco

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The locations in a tweet do not always indicate spatial information involving the author of the tweet. In this paper, we investigate whether authors are located or not located in the locations they tweet about, and temporally anchor this spatial information in the tweet timestamp. Specifically, we work with temporal tags centered around the tweet timestamp: longer than 24 hours before or after tweeting, within 24 hours before or after tweeting, and at the time of tweeting. We introduce a corpus of 1,200 location mentions from 1,062 tweets, discuss several annotation samples, and analyze annotator disagreements.

Original languageEnglish (US)
Title of host publicationLREC 2018 - 11th International Conference on Language Resources and Evaluation
EditorsHitoshi Isahara, Bente Maegaard, Stelios Piperidis, Christopher Cieri, Thierry Declerck, Koiti Hasida, Helene Mazo, Khalid Choukri, Sara Goggi, Joseph Mariani, Asuncion Moreno, Nicoletta Calzolari, Jan Odijk, Takenobu Tokunaga
PublisherEuropean Language Resources Association (ELRA)
Pages1776-1780
Number of pages5
ISBN (Electronic)9791095546009
StatePublished - 2019
Externally publishedYes
Event11th International Conference on Language Resources and Evaluation, LREC 2018 - Miyazaki, Japan
Duration: May 7 2018May 12 2018

Publication series

NameLREC 2018 - 11th International Conference on Language Resources and Evaluation

Conference

Conference11th International Conference on Language Resources and Evaluation, LREC 2018
Country/TerritoryJapan
CityMiyazaki
Period5/7/185/12/18

Keywords

  • Social Networks
  • Spatial knowledge
  • Twitter

ASJC Scopus subject areas

  • Linguistics and Language
  • Education
  • Library and Information Sciences
  • Language and Linguistics

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