Geotext extracts countriy and city mentions from text
Maintainers
Project Description
Release History
Download Files
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" GeoText('New York, Texas, and also China').country_mentions # OrderedDict([(u'US', 2), (u'CN', 1)])
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
0.3.0 (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.
Download Files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| 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 |
