.. image:: https://img.shields.io/pypi/v/geotext.svg :target: https://pypi.python.org/pypi/geotext
.. image:: https://img.shields.io/pypi/pyversions/geotext.svg :target: https://pypi.python.org/pypi/geotext
.. image:: https://travis-ci.org/elyase/geotext.png?branch=master :target: https://travis-ci.org/elyase/geotext
Geotext extracts country and city mentions from text
.. code-block:: python
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)])
.. code-block:: bash
pip install https://github.com/elyase/geotext/archive/master.zip
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.
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) ++++++++++++++++++
FAQs
Geotext extracts countriy and city mentions from text
We found that geotext demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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