Demo presented at the GeoPython 2018 conference as a lightning talk
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README.md
Text-to-Space_pipeline-demo.ipynb
geese-at-h.html
geograph_random_sample.csv

README.md

GeoPython 2018 lightning talk

Demo presented at the GeoPython 2018 conference as a lightning talk.

To run this notebook you'll have to minimally:

  • install the python libraries imported at the top of the notebook (conda and some via pip)
  • download the Stanford Named Entity Recognizer (NER); I use v3.8.0 which you can download here, unzip, then adjust the CLASSPATH and STANFORD_MODELS os.environ paths at the top of the notebook
  • use nltk.download() to download nltk models
  • set a data path for nltk if you get a LookupError from nltk below even after downloading relevant models (also at top of notebook)