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.
This book presents a human language processing tool named Computational
Wine Wheel to process professional wine reviews and three novel
Wineinformatics studies to analyze wine quality, price and reviewers.
Through the lens of data science, the author demonstrates how the wine
receives 90+ scores out of 100 points from Wine Spectator, how to
predict a wine's specific grade and price through wine reviews and how
to rank a group of wine reviewers. The book also shows the advanced
application of the Computational Wine Wheel to capture more information
hidden in wine reviews and the possibility of extending the wheel to
coffee, tea beer, sake and liquors.
This book targets computer scientists, data scientists and wine
industrial researchers, who are interested in Wineinformatics. Senior
data science undergraduate and graduate students may also benefit from
this book.