This is a first effort at using the Stanford Named Entity Recognizer to extract locations from an Internet Archive text file and use the geocoding capabilities of the Google Map Engine to identify the top 99 locations in the text. I relied a lot on William Turkel's NER lesson and it will take some work to streamline and hopefully automate the process for a future Geospatial Historian lesson. Source Material: http://archive.org/details/gazetteerofsco1882wils Turkel's Lesson: http://williamjturkel.net/2013/06/30/named-entity-recognition-with-command-line-tools-in-linux/ Stanford's NER: http://nlp.stanford.edu/software/CRF-NER.shtml#Download Geospatial Historian: http://geospatialhistorian.wordpress.com/