Stanford Named Entity Recognizer (NER) to Google Map Engine

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. You can find a number of errors in the map, but it is a good sign that the majority of the locations extracted from The Gazetteer of Scotland (1882) are concentrated in Scotland and this does provide a potentially quick method to visualize the most frequent locations in a text.

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