Hey everyone,
I am looking to do some clustering analysis on patents.... and of course it would be great to be able to create a document corpus that consistent of all patents year by year ( or certainly a good chunk).
Idea is to analyze all emerging areas around certain fields in genomics and bioinformatics, but I don't want to limit the analysis by including arbitrary (non ML derived ) categories...I'm looking to create the categories myself.
Does anyone know how to access/download patents in high-throughput?
Thanks so much !!
1 answer
Look at this repository to get some ideas and code on how to download patents from Google Patents database:
https://github.com/yarden/iv_patents_and_universities
By the way, searching for "patents" on GitHub gives me, among the top hits:
https://github.com/iamlemec/patents
Parse, match (within and Compustat), and analyze USPTO patent data
https://github.com/google/patents-public-data
Patent analysis using the Google Patents Public Datasets on BigQuery
https://github.com/hopped/uspto-patents-parsing-tools
Some parsing tools for USPTO patents google.com/googlebooks/uspto-patents.html
https://github.com/55minutes/python-epo-ops-client
Python Client for the European Patent Office's Open Patent Services API
But the best is:
https://github.com/antiboredom/patent-generator
Transforms literary/philosophical texts into patent applications
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Maybe check out https://opendata.stackexchange.com/ ?
The whole reason for doing this is to analyze bioinformatics patents... I don't want to take a category view though I want to cluster all patents and find new clusters relating to bioinformatics...
If only that were mentioned somewhere in the question... I'll reopen it now.