Description

=============================== geotext =============================== .. image:: https://travis-ci.org/elyase/geotext.png?branch=master :target: https://travis-ci.org/elyase/geotext .. image:: https://pypip.in/d/geotext/badge.png :target: https://pypi.python.org/pypi/geotext Geotext extracts country and city mentions from text * Free software: MIT license * Documentation: https://geotext.readthedocs.org. Usage ----- .. code-block:: python 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 <https://github.com/ushahidi/geograpy>`_: 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.