Making Patent Citations Uncool Again
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Updated
Jun 11, 2023 - Jupyter Notebook
Making Patent Citations Uncool Again
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence
Automatically download all PDF files of searching results & their patent families found on Google Patents.
Curated list of resources for processing patent data
Gathering metadata about publications, patents, grants, clinical trials and policy documents from DS Dimensions using DSL API
A python tool for reading, parsing and finding patent using the United States Patent and Trademark (USPTO) Bulk Data Storage System.
Patent and other IP rights portfolio manager and docketing system v2
An R client to the PatentsView API
A US provisional patent template used to generate dozens of granted patents and as the basis for WIPO (international filings), with overview and examples.
Python package to access USPTO bulk data in rectangular format
A distributed consensus mechanism for securing content novelty: Proof of Novelty.
Say it. Learn it. Live it.
R package to access USPTO bulk data in tidy, rectangular format
Graph that downloads patent citation data from USPTO's PatentsView API on-demand and stores it locally in an SQL database (and in memory) for fast access later.
Data from paper: "Benign Effects of Automation: New Evidence from Patent Texts"
A collection of python projects relating to natural language processing, including computational linguistics, network graph analysis, and patent analytics. Live examples are hosted on my JupyterHub and demonstrate some of my favorite libraries, including spaCy, Pandas, NetworkX, Gensim, and TextBlob. Also includes a sprinkle of blockchain and my…
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