Use

Content

NLTK-Patents.ipynb: to parse the patents with NLTK.
2020: Pandas!: getting the database and parsing it into a df. Compressed.

Parsing the different patents

Using:

python us_patents.py

In yellow, the scraped patents, in white, the connected patents, but not scrapped yet. It's interesting to note that the central patent is common to the three scrapped patents, but was not identified as being relevant for the moment.

Features

Getting patents and caching them in a .cache folder
Save a DB of patents, including backward and forward patents
Save images of patents

Plotting graphs

Changelog

2018-05-06: playing with NLTK
2018-04-29: adding plotting graphs
2018-03-18: get and save patents

Name		Name	Last commit message	Last commit date
Latest commit History 58 Commits
__pycache__		__pycache__
legacy		legacy
md		md
20180318-Pandas.ipynb		20180318-Pandas.ipynb
20180318-Patents.ipynb		20180318-Patents.ipynb
AllPatentsStructure.csv.gz		AllPatentsStructure.csv.gz
CreateMD.ipynb		CreateMD.ipynb
MaDB		MaDB
NLTK-Patents.ipynb		NLTK-Patents.ipynb
Readme.md		Readme.md
core.graph.data		core.graph.data
core.graph.data.svg		core.graph.data.svg
graph.data		graph.data
graph.data.png		graph.data.png
graph.data.svg		graph.data.svg
graph_lib.py		graph_lib.py
graph_lib.pyc		graph_lib.pyc
groups.png		groups.png
pandas.csv		pandas.csv
patents.db		patents.db
patents_create.py		patents_create.py
patents_lib.py		patents_lib.py
patents_lib.pyc		patents_lib.pyc
patents_pagerank.png		patents_pagerank.png
price.png		price.png
state.draw.png		state.draw.png
summary.md		summary.md
us_patents.py		us_patents.py

kelu124/ultrasound-patents

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Parsing the different patents

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Plotting graphs

Changelog

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