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.
- Douglas E. Faries is Senior Research Advisor at Lilly USA, where he oversees statistical design and analysis support for Health Outcomes Research.
- Michele M. Burlew designs and programs SAS applications for data management, data analysis, report writing, and graphics for academic and corporate clients.
- Kevin D. Smith has been a software developer at SAS since 1997.