QNL #2: Dutch Case Law Brief, October 26 – November 1, 2015

Albany Court of Appeals (source: Wikipedia) - I look forward to my admission in January 2016.

In this QNL, I assess rulings issued by Dutch legal institutions published on www.rechtspraak.nl during the last week of October 2015 using Python‘s natural language processing, data analysis and machine learning packages. Number of cases by institution  Between October 26 to November 1, 2015, a total of 262 new court rulings were published (list), according to a request via the… Continue reading QNL #2: Dutch Case Law Brief, October 26 – November 1, 2015

QNL #1: Dutch Case Law Brief, October 12-18, 2015

I own no rights to this image. Source: mynewsla.com

In this post, I want to share with you the results of a program involving natural language processing and machine learning tools. The aim of the program is to provide insights into Dutch case law developments on a weekly basis, using case law published on www.rechtspraak.nl. As the program is still in beta, feel free to comment or make suggestions.… Continue reading QNL #1: Dutch Case Law Brief, October 12-18, 2015

Roseburg and Mass Shootings in the U.S.

This post is not about finance or law, but about mass shootings. Mass Shooting:  “FOUR or more shot and/or killed in a single event [incident], at the same general time and location not including the shooter.” (Source: GVA) Roseburg, Oregon October 1, 2015, marks another incident of mass shooting in the United States. This time, it was Christopher… Continue reading Roseburg and Mass Shootings in the U.S.

FinCEN MSB Data

Mining FinCEN data In this post I discuss how to use a financial institution’s search engine (FinCEN) and Python to analyze data on  financial market participants.    how to use a financial institution’s search engine (FinCEN) and Python to analyze data on  financial market participants.    Legal Background The Financial Crimes Enforcement Network is a bureau within the… Continue reading FinCEN MSB Data