Score for each location?

[0AlphaZero0]

Could it be possible to have a score for each location found?
Indeed sometimes it could be good to know why some locations are in the results for example :
`

import geograpy
places = geograpy.get_geoPlace_context(text="This sentence mention UK as country and London as city.")
places.countries
['United Kingdom', 'United States', 'Canada']
places.cities
['London']
places = geograpy.get_geoPlace_context(text="Jin Yin-tan Hospital, Wuhan, China.")
places.countries
['China', 'Mexico', 'United States']
places.cities
['China']
`

Something like the following score could be interesting :
[('United Kingdom',0.99), ('United States',0.56), ('Canada',0.45)]

A score of confidence could help to avoid those results.

[WolfgangFahl]

How would you like to calculate the score? Currently there are a few possible strategies:

• use the population as an indicator e.g. Vienna Austria has a higher population as Vienna Illinois
• use the combination of fields as an indicator Wuhan China should limit the location as a grid search just in that area

Please note that the disambiguation is currently only possible with the Locator API.

[0AlphaZero0]

I think a combination of fields should be the best approach.

[WolfgangFahl]

see also http://wiki.bitplan.com/index.php/Geograpy#Difference_in_Name.2FLabel

[WolfgangFahl]

#52 now addresses this - the default is to order by population. For our own use case we'll use a more sophisticated version and see what the likelyhood of a location is in our context given how often it is already in our corpus.