Geographic context-aware text mining: enhance social media message classification for situational awareness by integrating spatial and temporal features

Author:

Scheele Christopher1,Yu Manzhu2ORCID,Huang Qunying1

Affiliation:

1. Spatial Computing and Data Mining Lab, Department of Geography, University of Wisconsin-Madison, Madison, WI, USA

2. Department of Geography, Pennsylvania State University, University Park, PA, USA

Funder

University of Wisconsin-Madison

National Science Foundation

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Reference63 articles.

1. Twitter for crisis communication: lessons learned from Japan's tsunami disaster

2. Evaluation of Weather Radar with Pulse Compression: Performance of a Fuzzy Logic Tornado Detection Algorithm

3. Ansari, Steve, S. Del Greco, and B. Hankins. 2010. “The Weather and Climate Toolkit.” Paper Presented at the AGU Fall Meeting Abstracts, San Francisco, CA, December 13–17.

4. Ashktorab, Zahra, Christopher Brown, Manojit Nandi, and Aron Culotta. 2014. “Tweedr: Mining Twitter to Inform Disaster Response.” Paper Presented at the 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2014), University Park, PA.

5. Geo-located community detection in Twitter with enhanced fast-greedy optimization of modularity: the case study of typhoon Haiyan

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