numerizer 0.2.1

Using the SpaCy extension

Since version 0.2, numerizer is available as a SpaCy extension.

Any named entities of a quantitative nature within a SpaCy document can be numerized as follows:

>>> from spacy import load
>>> nlp = load('en_core_web_sm')  # or load any other spaCy model
>>> doc = nlp('The projected revenue for the next quarter is over two million dollars.')
>>> doc._.numerize()
{the next quarter: 'the next 1/4', over two million dollars: 'over 2000000 dollars'}

Users can specify which entity types are to be numerized, by using the labels argument in the extension function, as follows:

>>> doc._.numerize(labels=['MONEY'])  # only numerize entities of type 'MONEY'
{over two million dollars: 'over 2000000 dollars'}

The extension is available for tokens and spans as well.

>>> two_million = doc[-4:-2]  # span corresponding to "two million"
>>> two_million._.numerize()
'2000000'
>>> quarter = doc[6]  # token corresponding to "quarter"
>>> quarter._.numerized
'1/4'