tyler-seymour/jupyter-portfolio

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 published papers.

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Experimental

This project provides interactive tools for professionals working with text data and intellectual property. It helps investigators analyze networks of online fraud, assists intellectual property specialists in categorizing patents, and helps legal professionals manage and track IP licenses on the blockchain. You input text documents, transaction reviews, or patent abstracts and get back visualizations, categorizations, and trackable digital assets.

No commits in the last 6 months.

Use this if you need to analyze complex text data for fraud detection, patent classification, or to issue and track intellectual property licenses digitally.

Not ideal if you are looking for a general-purpose text analysis tool without specific applications in fraud, IP, or blockchain.

Fraud Investigation Patent Analytics Intellectual Property Management Computational Linguistics Blockchain Licensing
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 8 / 25

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Stars

9

Forks

1

Language

Jupyter Notebook

License

—

Category

data-science-bootcamp-portfolios

Last pushed

Sep 29, 2019

Commits (30d)

0

GitHub
Data Science Bootcamp Portfolios · 48 tools

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