Moredcai Geoparsing Entity Extractor

[samhavens]

Mordecai is a full text geoparsing Python library. Extract the place names from a piece of text, resolve them to the correct place, and return their coordinates and structured geographic information.

>>> from mordecai import Geoparser
>>> geo = Geoparser()
>>> geo.geoparse("I traveled from Oxford to Ottawa.")

[{'country_conf': 0.96474487,
  'country_predicted': 'GBR',
  'geo': {'admin1': 'England',
   'country_code3': 'GBR',
   'feature_class': 'P',
   'feature_code': 'PPLA2',
   'geonameid': '2640729',
   'lat': '51.75222',
   'lon': '-1.25596',
   'place_name': 'Oxford'},
  'spans': [{'end': 22, 'start': 16}],
  'word': 'Oxford'},
 {'country_conf': 0.83302397,
  'country_predicted': 'CAN',
  'geo': {'admin1': 'Ontario',
   'country_code3': 'CAN',
   'feature_class': 'P',
   'feature_code': 'PPLC',
   'geonameid': '6094817',
   'lat': '45.41117',
   'lon': '-75.69812',
   'place_name': 'Ottawa'},
  'spans': [{'end': 32, 'start': 26}],
  'word': 'Ottawa'}]

So this would be like the Duckling built-in entity extractor, but for places instead of time.

It will be heavy, because Mordecai requires a running Elasticsearch service with Geonames in it.

docker pull elasticsearch:5.5.2
wget https://s3.amazonaws.com/ahalterman-geo/geonames_index.tar.gz --output-file=wget_log.txt
tar -xzf geonames_index.tar.gz
docker run -d -p 127.0.0.1:9200:9200 -v $(pwd)/geonames_index/:/usr/share/elasticsearch/data elasticsearch:5.5.2