Classifying natural-language spatial relation terms with random forest algorithm
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2016.1212356
Abstract: ABSTRACT The exponential growth of natural language text data in social media has contributed a rich data source for geographic information. However, incorporating such data source for GIS analysis faces tremendous challenges as existing GIS… read more here.
Keywords: natural language; topology; nlsr terms; language spatial ... See more keywords