Geotext extracts country and city mentions from text
- Free software: MIT license
- Documentation: https://geotext.readthedocs.org.
from geotext import GeoText
places = GeoText("London is a great city")
places.cities
# "London"
# filter by country code
result = GeoText('I loved Rio de Janeiro and Havana', 'BR').cities
# 'Rio de Janeiro'
GeoText('New York, Texas, and also China').country_mentions
# OrderedDict([(u'US', 2), (u'CN', 1)])pip install https://github.com/elyase/geotext/archive/master.zip- No external dependencies
- Fast
- Data from http://www.geonames.org licensed under the Creative Commons Attribution 3.0 License.
geography: geography is more advanced and bigger in scope compared to geotext and can do everything geotext does. On the other hand geotext is leaner: has no external dependencies, is faster (re vs nltk) and also depends on libraries and data covered with more permissive licenses.
