Tracking geographical locations using a geo-aware topic model for analyzing social media data-Reference-Cited by-同舟云学术

Tracking geographical locations using a geo-aware topic model for analyzing social media data

Published:2017-07 Issue: Volume:99 Page:18-29
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

García Lozano Marianela,Schreiber Jonah,Brynielsson Joel

Funder

European Union Seventh Framework Programme

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference43 articles.

1. Emotion classification of social media posts for estimating people's reactions to communicated alert messages during crises;Brynielsson;Secur. Inform.,2014

2. Probabilistic topic models;Blei;Commun. ACM,2012

3. Finding your friends and following them to where you are;Sadilek,2012

4. Discovering geographical topics in the Twitter stream;Hong,2012

5. Location mining in online social networks;Abrol,2013

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