On Fine-Grained Geolocalisation of Tweets

Author:

Gonzalez Paule Jorge David1,Moshfeghi Yashar2,Jose Joemon M.1,Thakuriah Piyushimita (Vonu)1

Affiliation:

1. University of Glasgow, Glasgow, United Kingdom

2. University of Strathclyde, Glasgow, United Kingdom

Funder

European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)

Publisher

ACM

Reference9 articles.

1. @Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage

2. Zhiyuan Cheng James Caverlee and Kyumin Lee. 2010. You are where you tweet: a content-based approach to geo-locating twitter users Proceedings of the 19th ACM international conference on Information and knowledge management. ACM 759--768. 10.1145/1871437.1871535 Zhiyuan Cheng James Caverlee and Kyumin Lee. 2010. You are where you tweet: a content-based approach to geo-locating twitter users Proceedings of the 19th ACM international conference on Information and knowledge management. ACM 759--768. 10.1145/1871437.1871535

3. Jacob Eisenstein Brendan O'Connor Noah A Smith and Eric P Xing 2010. A latent variable model for geographic lexical variation Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics 1277--1287. Jacob Eisenstein Brendan O'Connor Noah A Smith and Eric P Xing 2010. A latent variable model for geographic lexical variation Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics 1277--1287.

4. David Flatow Mor Naaman Ke Eddie Xie Yana Volkovich and Yaron Kanza 2015. On the accuracy of hyper-local geotagging of social media content Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. ACM 127--136. 10.1145/2684822.2685296 David Flatow Mor Naaman Ke Eddie Xie Yana Volkovich and Yaron Kanza 2015. On the accuracy of hyper-local geotagging of social media content Proceedings of the Eighth ACM International Conference on Web Search and Data Mining. ACM 127--136. 10.1145/2684822.2685296

5. Mark Graham Scott A. Hale and Devin Gaffney. 2013. Where in the World are You? Geolocation and Language Identification in Twitter. CoRR Vol. abs/1308.0683 (2013). http://arxiv.org/abs/1308.0683 Mark Graham Scott A. Hale and Devin Gaffney. 2013. Where in the World are You? Geolocation and Language Identification in Twitter. CoRR Vol. abs/1308.0683 (2013). http://arxiv.org/abs/1308.0683

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