benhoyle / patentmodels

Functions and datamodels for patent data.

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