0.3.7

jonathon@ushahidi.com — Sun, 11 May 2014 20:00:07 GMT

Extract countries, regions and cities from a URL or text

0.3.5

jonathon@ushahidi.com — Fri, 09 May 2014 21:25:31 GMT

Extract countries, regions and cities from a URL or text

0.3.4

jonathon@ushahidi.com — Thu, 17 Apr 2014 15:23:20 GMT

Extract countries, regions and cities from a URL or text

0.3.3

jonathon@ushahidi.com — Thu, 17 Apr 2014 15:15:31 GMT

Extract countries, regions and cities from a URL or text

0.3.1

jonathon@ushahidi.com — Thu, 17 Apr 2014 00:10:50 GMT

Extract countries, regions and cities from a URL or text

0.3.0

jonathon@ushahidi.com — Wed, 16 Apr 2014 23:22:24 GMT

Extract countries, regions and cities from a URL or text

0.2.5

jonathon@ushahidi.com — Thu, 10 Apr 2014 23:20:57 GMT

Extract countries, regions and cities from a URL or text

0.2.4

jonathon@ushahidi.com — Thu, 10 Apr 2014 23:16:26 GMT

Geograpy========Extract place names from a URL or text, and add context to those names-- for example distinguishing between a country, region or city.Install & Setup---------------Grab the package using ``pip`` (this will take a few minutes):: pip install geograpyGeograpy uses `NLTK `__ for entity recognition, soyou'll also need to download the models we're using. Fortunately there'sa command that'll take care of this for you.:: geograpy-nltkBasic Usage-----------Import the module, give some text or a URL, and presto.:: import geograpy url = 'http://www.bbc.com/news/world-europe-26919928' places = geograpy.get_place_context(url=url)Now you have access to information about all the places mentioned in thelinked article.- ``places.countries`` *contains a list of country names*- ``places.regions`` *contains a list of region names*- ``places.cities`` *contains a list of city names*- ``places.other`` *lists everything that wasn't clearly a country, region or city*Note that the ``other`` list might be useful for shorter texts, to pullout information like street names, points of interest, etc, but at themoment is a bit messy when scanning longer texts that contain possessiveforms of proper nouns (like "Russian" instead of "Russia").But Wait, There's More----------------------In addition to listing the names of discovered places, you'll also getsome information about the relationships between places.- ``places.country_regions`` *regions broken down by country*- ``places.country_cities`` *cities broken down by country*- ``places.address_strings`` *city, region, country strings useful for geocoding*Last But Not Least------------------While a text might mention many places, it's probably focused on one ortwo, so Geograpy also breaks down countries, regions and cities bynumber of mentions.- ``places.country_mentions``- ``places.region_mentions``- ``places.city_mentions``Each of these returns a list of tuples. The first item in the tuple isthe place name and the second item is the number of mentions. Forexample::: [('Russian Federation', 14), (u'Ukraine', 11), (u'Lithuania', 1)] If You're Really Serious------------------------You can of course use each of Geograpy's modules on their own. Forexample::: from geograpy import extraction e = extraction.Extractor(url='http://www.bbc.com/news/world-europe-26919928') e.find_entities() # You can now access all of the places found by the Extractor print e.placesPlace context is handled in the ``places`` module. For example::: from geograpy import places pc = places.PlaceContext(['Cleveland', 'Ohio', 'United States']) pc.set_countries() print pc.countries #['United States'] pc.set_regions() print pc.regions #['Ohio'] pc.set_cities() print pc.cities #['Cleveland'] print pc.address_strings #['Cleveland, Ohio, United States']And of course all of the other information shown above(``country_regions`` etc) is available after the corresponding ``set_``method is called.Credits-------Geograpy uses the following excellent libraries:- `NLTK `__ for entity recognition- `newspaper `__ for text extraction from HTML- `jellyfish `__ for fuzzy text match- `pycountry `__ for country/region lookupsGeograpy uses the following data sources:- `GeoLite2 `__ for city lookups- `ISO3166ErrorDictionary `__ for common country mispellings *via `Sara-Jayne Terp `__*Hat tip to `Chris Albon `__ for the name.

0.2.3

jonathon@ushahidi.com — Thu, 10 Apr 2014 23:01:34 GMT

Extract place names and meta data from text or URLs

0.2.2

jonathon@ushahidi.com — Thu, 10 Apr 2014 22:55:53 GMT

Extract place names and meta data from text or URLs

0.2.1

jonathon@ushahidi.com — Thu, 10 Apr 2014 22:53:20 GMT

Extract place names and meta data from text or URLs

0.2

jonathon@ushahidi.com — Thu, 10 Apr 2014 22:42:53 GMT

Extract place names and meta data from text or URLs

PyPI recent updates for geograpy

0.3.7

0.3.5

0.3.4

0.3.3

0.3.1

0.3.0

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2