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