Geotext extracts countriy and city mentions from text
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" GeoText('New York, Texas, and also China').country_mentions # OrderedDict([(u'US', 2), (u'CN', 1)])
- No external dependencies
- 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.
Support for Brazilian cities (credit to @joseluizcoe)
- Python 3 support (credit to @freezer9)
- First release on PyPI.
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|File Name & Checksum SHA256 Checksum Help||Version||File Type||Upload Date|
|geotext-0.3.0-py2.py3-none-any.whl (2.0 MB) Copy SHA256 Checksum SHA256||3.6||Wheel||Mar 12, 2017|
|geotext-0.3.0.tar.gz (2.0 MB) Copy SHA256 Checksum SHA256||–||Source||Mar 12, 2017|