Wineinformatics (Record no. 14933)

MARC details
000 -LEADER
fixed length control field 02588nam a2200373Ia 4500
000 - LEADER
fixed length control field 03117nam a22003975i 4500
001 - CONTROL NUMBER
control field 978-981-19-7369-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240319120752.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221129s2023 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811973697
-- 978-981-19-7369-7
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 5.7
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chen, Bernard.
9 (RLIN) 28154
245 ## - TITLE STATEMENT
Title Wineinformatics
Statement of responsibility, etc. by Bernard Chen.
Medium [electronic resource] :
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore
Name of publisher, distributor, etc. Springer Nature Singapore
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Extent IX, 69 p. 1 illus.
Other physical details online resource.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
9 (RLIN) 28155
Topical term or geographic name entry element Business information services.
9 (RLIN) 28156
Topical term or geographic name entry element Business Information Systems.
9 (RLIN) 28157
Topical term or geographic name entry element Computer Application in Social and Behavioral Sciences.
9 (RLIN) 28158
Topical term or geographic name entry element Data Science.
9 (RLIN) 28159
Topical term or geographic name entry element Expert systems (Computer science).
9 (RLIN) 28160
Topical term or geographic name entry element Knowledge Based Systems.
9 (RLIN) 28161
Topical term or geographic name entry element Machine learning.
9 (RLIN) 28162
Topical term or geographic name entry element Machine Learning.
9 (RLIN) 28163
Topical term or geographic name entry element Natural language processing (Computer science).
9 (RLIN) 28164
Topical term or geographic name entry element Natural Language Processing (NLP).
9 (RLIN) 28165
Topical term or geographic name entry element Social sciences
9 (RLIN) 28166
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-19-7369-7">https://doi.org/10.1007/978-981-19-7369-7</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type e-Book
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
        S. R. Ranganathan Learning Hub S. R. Ranganathan Learning Hub Online   Veda Library Solutions Pvt. Ltd., Noida   EB1919 2024-03-19 2024-03-19 e-Book Platform:Springer