geotext 0.4.0

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.

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.