1. A method of dynamically modeling geospatial words in social media, comprising: receiving GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates; generating a word set based on frequencies of words occurring in the GPS annotated text data; partitioning locations by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations; segmenting a text stream contained in the GPS annotated text data into time windows; generating footprints of locations in time windows; determining geospatial weights associated with words in the word set based on localness of words determined based on the footprints; dynamically integrating in geotagging by extracting words in a text message and determining scores associated with the set of discrete non-overlapped locations.