Natural Language Processing for RegTech: Uncovering Hidden Patterns in Regulatory Documents

Blog highlights how Natural Language Processing (NLP) helps regulatory agencies, regulated enterprises, and markets understand unstructured regulatory documents without countless hours spent researching, reading, and analyzing. It helps analysts increase efficiency, derive actionable insights, and uncover hidden topics from large collections of rules, filings, or reports.

Determining Federal Grant Recipient Fraud Risk

Better NLP Models: OpenAI GPT-2

This blog by Peter Bruce explores the benefits and dangers of better natural language processing models such as OpenAI’s GPT-2.

Sophisticated Text Analysis Is Hard, But It Works

Blog by Dr. John Elder shares some wisdom on the value of text analytics (even though it is hard work) using a text mining case study from a project for the Social Security Administration.