On Fine-Grained Geolocalisation of Tweets

Gonzalez Paule, J. D., Moshfeghi, Y., Jose, J. M. and Thakuriah, P. (V.) (2017) On Fine-Grained Geolocalisation of Tweets. In: ICTIR 2017: The 3rd ACM International Conference on the Theory of Information Retrieval, Amsterdam, The Netherlands, 1-4 Oct 2017, pp. 313-316. ISBN 9781450344906 (doi:10.1145/3121050.3121104)

Gonzalez Paule, J. D., Moshfeghi, Y., Jose, J. M. and Thakuriah, P. (V.) (2017) On Fine-Grained Geolocalisation of Tweets. In: ICTIR 2017: The 3rd ACM International Conference on the Theory of Information Retrieval, Amsterdam, The Netherlands, 1-4 Oct 2017, pp. 313-316. ISBN 9781450344906 (doi:10.1145/3121050.3121104)

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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 insufficient 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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Jose, Professor Joemon and Thakuriah, Professor Piyushimita and Gonzalez Paule, Jorge and Moshfeghi, Dr Yashar
Authors: Gonzalez Paule, J. D., Moshfeghi, Y., Jose, J. M., and Thakuriah, P. (V.)
College/School:College of Science and Engineering > School of Computing Science
College of Social Sciences > School of Social and Political Sciences > Urban Studies
Publisher:ACM Press
ISBN:9781450344906
Copyright Holders:Copyright © 2017 ACM
First Published:First published in ICTIR 2017: The 3rd ACM International Conference on the Theory of Information Retrieval: 313-316
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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