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Extraction of Spatio-Temporal Data for Social Networks
[chapter]
2012
Lecture Notes in Social Networks
It is often possible to better understand group change over time through examining social network data in a spatial and temporal context. Providing that context from a text analysis perspective requires identifying locations and associating them with people. This paper presents our GeoRef algorithm to automatically do this person-to-place mapping. It involves the identification of location, and uses syntactic proximity of words in the text to link location to person's name. We describe an
doi:10.1007/978-3-7091-1346-2_15
dblp:series/lnsn/GelernterCC13
fatcat:l5hbwxw3i5gknn6qsbaclfg3gi