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Functions and datamodels for patent data.

Project description

Patent Models
=============

Functions and datamodels for patent data.

Usage
--------------
``from patentmodels import PatentDoc, Description, Claimset, Claims, Classification``

Getting a bag of words from a patent description.
::
text = [
("Lorem ipsum dolor sit amet, consectetur "
"adipiscing elit. Integer nec odio. \n"),
("Praesent libero 100. Sed cursus 102 ante dapibus diam. "
"Sed nisi. \n"),
("Sed, dignissim lacinia, <nunc>. Curabitur tortor 2."
"Pellentesque nibh. \n"),
"Quisque volutpat 554 condimentum velit."
]
desc = Description(text)
desc.bag_of_words()

Provides:
::
['lorem', 'ipsum', 'dolor', 'sit', 'amet', 'consecteturadipisc', 'elit',
'integ', 'nec', 'odio', 'praesent', 'libero', 'sed', 'cursu', 'ant', 'dapibu',
'nisi', 'sed', 'dignissim', 'lacinia', 'nunc', 'curabitur', 'tortor', 'nibh',
'quisqu', 'volutpat', 'condimentum', 'velit']

For a complete patent document:
::
claims = [
Claim("Claim {0} has an x.".format(num), num)
for num in range(1, 10)
]
claimset = Claimset(claims)
desc = Description(["one", "two", "three"])
fig = Figures()
classification = Classification("A")
pd = PatentDoc(
claimset,
desc,
fig,
"Title",
classification,
"20010101010"
)
pd.reading_time()
pd.claimset.get_claim(5).text

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