On fine-grained geolocalisation of tweets

Jorge David Gonzalez Paule, Yashar Moshfeghi, Joemon M. Jose, Piyushimita (Vonu) Thakuriah

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

5 Citations (Scopus)
67 Downloads (Pure)

Abstract

Recently, the geolocalisation of tweets has become an important feature for a wide range of tasks in Information Retrieval and other domains, such as real-time event detection, topic detection or disaster and emergency analysis. However, the number of relevant geo-tagged tweets available remains insuffcient to reliably perform such tasks. Thus, predicting the location of non-geotagged tweets is an important yet challenging task, which can increase the sample of geo-tagged data and help to a wide range of tasks. In this paper, we propose a location inference method that utilises a ranking approach combined with a majority voting of tweets weighted based on the credibility of its source (Twitter user). Using geo-tagged tweets from two cities, Chicago and New York (USA), our experimental results demonstrate that our method (statistically) significantly outperforms our baselines in terms of accuracy, and error distance, in both cities, with the cost of decrease in recall.

Original languageEnglish
Title of host publicationICTIR '17 Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval
Place of PublicationNew York, NY
Pages313-316
Number of pages4
ISBN (Electronic)9781450344906
DOIs
Publication statusPublished - 1 Oct 2017
Event7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017 - Amsterdam, Netherlands
Duration: 1 Oct 20174 Oct 2017

Conference

Conference7th ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2017
CountryNetherlands
CityAmsterdam
Period1/10/174/10/17

Keywords

  • fine-grained
  • geolocalisation
  • information retrieval
  • Twitter
  • user credibility
  • weighted majority voting

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  • Cite this

    Paule, J. D. G., Moshfeghi, Y., Jose, J. M., & Thakuriah, P. V. (2017). On fine-grained geolocalisation of tweets. In ICTIR '17 Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval (pp. 313-316). https://doi.org/10.1145/3121050.3121104