Wineinformatics
Chen, Bernard.
Wineinformatics [electronic resource] : by Bernard Chen. - 1st ed. 2023. - Singapore Springer Nature Singapore 2023 - IX, 69 p. 1 illus. online resource.
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.
9789811973697
Artificial intelligence
Business information services.
Business Information Systems.
Computer Application in Social and Behavioral Sciences.
Data Science.
Expert systems (Computer science).
Knowledge Based Systems.
Machine learning.
Machine Learning.
Natural language processing (Computer science).
Natural Language Processing (NLP).
Social sciences
5.7
Wineinformatics [electronic resource] : by Bernard Chen. - 1st ed. 2023. - Singapore Springer Nature Singapore 2023 - IX, 69 p. 1 illus. online resource.
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.
9789811973697
Artificial intelligence
Business information services.
Business Information Systems.
Computer Application in Social and Behavioral Sciences.
Data Science.
Expert systems (Computer science).
Knowledge Based Systems.
Machine learning.
Machine Learning.
Natural language processing (Computer science).
Natural Language Processing (NLP).
Social sciences
5.7