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entity-extraction
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Users misspell things. Having spell-check and synonyms helps a lot, but doesn't catch everything.
One solution would be to use the python metaphone package's implementation of the Double Metaphone algorithm.
At component train time, it could look at the normal entity lists, find the DM representation of all the synonyms, and store them.
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[Updated after reading sotera.github.io/newman/features].
In the "Top Addresses" screenshot below, [email protected] shows 79% in the donut plot and 0.988 in the bar plot.
I thought the 0.988 was a proportion -- w
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Is your feature request related to a problem? Please describe.
To use google geolocation api, User has to fill the credit details. Instead, we can use opensource geocoding api available.
Describe the solution you'd like
We can use alternate geocoding api available to get the same feature.
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