Identification of (near) Real-time Traffic Congestion in the Cities of Australia through Twitter-Reference-Cited by-同舟云学术

Identification of (near) Real-time Traffic Congestion in the Cities of Australia through Twitter

Published:2015-10-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics
language:
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Author:

Gong Yikai¹,Deng Fengmin¹,Sinnott Richard O.¹

Affiliation:

1. The University of Melbourne, Melbourne, Australia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2811271.2811276

Reference35 articles.

1. Twitter Inc. "Company | About " 2015. {Online}. Available: https://about.twitter.com/company. {Accessed 1 June 2015}. Twitter Inc. "Company | About " 2015. {Online}. Available: https://about.twitter.com/company. {Accessed 1 June 2015}.

2. Techniques and applications for sentiment analysis

3. Twitter sentiment analysis: The good the bad and the omg!;Kouloumpis E.;Icwsm,2011

4. Media, Modernity and Technology

5. The convergence of GIS and social media: challenges for GIScience

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