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.

Search for and retrieve US Patent and Trademark Office Patent Data

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

Patent and other IP rights portfolio manager and docketing system v2

An R client to the PatentsView API

A python tool for reading, parsing and finding patent using the United States Patent and Trademark (USPTO) Bulk Data Storage System.

A US provisional patent template used to generate dozens of granted patents and as the basis for WIPO (international filings), with brief overview.

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.

Building API and tools for EPO OPS patent data

Open source patent analytics toolkit

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…