Text as Data

About the Authors

Barry deVille is a practitioner, developer, and author in the fields of statistics, data science, and text analytics. During a decades-long career at SAS, he collaborated extensively with the text analytic R&D development team, deploying text mining solutions to a variety of global clients in various industrial, financial, health, and social media applications. This work resulted in the award of numerous US patents on decision tree induction algorithms and multidimensional text analytics. Prior to joining SAS, he worked with the National Research Council and other government and commercial entities in Canada in the development and commercialization of statistical and machine learning algorithms.

Gurpreet Singh Bawa has practiced internationally in the areas of statistics with an emphasis on artificial intelligence (AI) and machine learning (ML). He was awarded a PhD at Panjab University, Chandigarh, India, in the fields of AI and ML. He has authored numerous publications in national and international journals. His research in the areas of unstructured data analysis have led to numerous patent applications and awards (including one with co-author deVille on social community identification and automatic document classification). He also works in breakeven analysis and portfolio optimization. He is currently authoring a book on advanced mathematics.