Geotext extracts countriy and city mentions from text
Project description
Geotext extracts country and city mentions from text
- Free software: MIT license
- Documentation: https://geotext.readthedocs.org.
Usage
from geotext import GeoText places = GeoText("London is a great city") places.cities # "London" # filter by country code result = geotext.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)])
Installation
pip install https://github.com/elyase/geotext/archive/master.zip
Features
- No external dependencies
- Fast
- Data from http://www.geonames.org licensed under the Creative Commons Attribution 3.0 License.
Similar projects
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.
History
0.4.0 (2018-07-30)
Fix unicode errors
0.3.0 (2017-12-03)
Support for Brazilian cities (credit to @joseluizcoe)
0.2.0 (2017-07-01)
- Python 3 support (credit to @freezer9)
0.1.0 (2014-01-11)
- First release on PyPI.
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