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
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
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.
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