Geo-Coding for the Mapping of Documents and Social Media Messages
Final rept. 23 Aug 2012-22 May 2013
CARNEGIE-MELLON UNIV PITTSBURGH PA OFFICE OF SPONSORED RESEARCH
Pagination or Media Count:
Many places on the earth have the same name, so it is difficult to determine which written place is meant. This research aims to improve the precision of geo-coding by using natural language processing and machine learning techniques SVM specifically. We used data that was already geo-coded the ACE Spatial ML data set, and a large tweet set in which tweets were selected for having GPS locations that we could use to improve validity. The report details our methods for text and microtext.
- Information Science
- Computer Systems