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Geotext extracts countriy and city mentions from text

Project description

https://travis-ci.org/elyase/geotext.png?branch=master

Geotext extracts country and city mentions from text

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.

Project details


Release history Release notifications

This version
History Node

0.3.0

History Node

0.2.0

History Node

0.1.0

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Filename, size & hash SHA256 hash help File type Python version Upload date
geotext-0.3.0-py2.py3-none-any.whl (2.0 MB) Copy SHA256 hash SHA256 Wheel 3.6 Mar 12, 2017
geotext-0.3.0.tar.gz (2.0 MB) Copy SHA256 hash SHA256 Source None Mar 12, 2017

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