OpenEDGAR: Open Source Software for SEC EDGAR Analysis

1 code implementation • 13 Jun 2018 • Michael J Bommarito II, Daniel Martin Katz, Eric M Detterman

OpenEDGAR is an open source Python framework designed to rapidly construct research databases based on the Electronic Data Gathering, Analysis, and Retrieval (EDGAR) system operated by the US Securities and Exchange Commission (SEC).

Retrieval

LexNLP: Natural language processing and information extraction for legal and regulatory texts

1 code implementation • 10 Jun 2018 • Michael J Bommarito II, Daniel Martin Katz, Eric M Detterman

LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text.

A General Approach for Predicting the Behavior of the Supreme Court of the United States

2 code implementations • 11 Dec 2016 • Daniel Martin Katz, Michael J Bommarito II, Josh Blackman

Building on developments in machine learning and prior work in the science of judicial prediction, we construct a model designed to predict the behavior of the Supreme Court of the United States in a generalized, out-of-sample context.

Physics and Society