A Multi-Indicator Approach for Geolocalization of Tweets

Schulz, Axel ; Hadjakos, Aristotelis ; Paulheim, Heiko ; Nachtwey, Johannes ; Mühlhäuser, Max

URL: https://ojs.aaai.org/index.php/ICWSM/article/view/...
Document Type: Conference or workshop publication
Year of publication: 2013
Book title: Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, Cambridge, Massachusetts, USA, July 8–11, 2013
Page range: [1-10]
Conference title: Seventh International AAAI Conference on Weblogs and Social Media
Location of the conference venue: Cambridge, Mass.
Date of the conference: July 8-11, 2013
Publisher: Kiciman, Emre
Place of publication: Palo Alto, Calif.
Publishing house: AAAI Press
ISBN: 978-1-57735-610-3
Related URLs:
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
Subject: 004 Computer science, internet
Abstract: Real-time information from microblogs like Twitter is useful for different applications such as market research, opinion mining, and crisis management. For many of those messages, location information is required to derive useful insights. Today, however, only around 1% of all tweets are explicitly geotagged. We propose the first multi-indicator method for determining (1) the location where a tweet was created as well as (2) the location of the user's residence. Our method is based on various weighted indicators, including the names of places that appear in the text message, dedicated location entries, and additional information from the user profile. An evaluation shows that our method is capable of locating 92% of all tweets with a median accuracy of below 30km, as well as predicting the user's residence with a median accuracy of below 5.1km. With that level of accuracy, our approach significantly outperforms existing work.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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