Michael D. Wallis
Software Developer, SAS
Michael D. Wallis, MS, is a software developer and former analytical consultant in Predictive Analytics and Machine Learning, Research and Development, at SAS. Michael has been active in software development for nearly two decades, with the most recent 9 years focusing on NLP and text analytics. He holds a master's degree in computer science, with a focus in NLP, and was a member of the IntelliMedia research group, where he researched intelligent tutorial systems for modeling dialogue act tag sequencing.
By This Author
SAS® Text Analytics for Business Applications: Concept Rules for Information Extraction Models
Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS® Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing and provides real-world guidance on the effective application of text analytics.
- Jim Blum is a Professor of Statistics at the University of North Carolina Wilmington where he has developed and taught original courses in SAS programming for the university for more than 15 years. These courses cover topics in SAS/BASE, SAS/SQL, SAS/STAT, and macro language.
- Jack Shostak, Associate Director of Statistics, manages a group of statistical programmers at the Duke Clinical Research Institute.
- Ron Klimberg, PhD, is a professor at the Haub School of Business at Saint Joseph's University in Philadelphia, PA.