Full name and institution: John Yee, Ph.D., Senior Data Scientist, United States Government Accountability Office, yeej@gao.gov

Type of proposal: presentation

Main focus of the presentation: applicability of text analytics for public sector audits by demonstrating related text analysis methods and results via real audit engagement examaples

Phase of the presented paper: case study with practical results

Presentation description: Text analytics, a part of Natural Language Processing, has a great potential to analyze unstructured text data that have been increasting at public sector. This presentation will present how several text mining methods could be used for deriving meaningful results from various types of text data of public audit engagements.    

Technical details: used some statistical models in R analytical programming language