DYNAMIC MODELING OF GEOSPATIAL WORDS IN SOCIAL MEDIA

摘要

Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set are generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

主权项

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.