Wineinformatics A New Data Science Application

Wineinformatics is a new data science application with a focus on understanding wine through artificial intelligence. Thousands of new wine reviews are produced monthly, which benefits the understanding of wine through wine experts for winemakers and consumers. This book systematically investigates how to process human language format reviews and mine useful knowledge from a large volume of processed data.

Bernard Chen is currently a full professor and undergraduate coordinator of computer science department at University of Central Arkansas. He received his Ph.D. degree in computer science with bioinformatics concentration from Georgia State University in 2008. He is currently a full professor and undergraduate coordinator at the same department. He is the author or coauthor of approximately 80 papers in various interdisciplinary studies. In 2014, compared with existing data mining studies in wine works on approximately 100 wines at a time, he proposed a new data science application named Wineinformatics to analyze tens of thousands of wines through artificial intelligence. Since then, he has published eight journals and nine conference peer-reviewed papers directly related to Wineinformatics. He currently serves as a guest editor in the journal Fermentation for a special issue titled Machine Learning in Fermented Food and Beverages.