000			03002nam a2200385 i 4500
999			_c397913 _d397913 _x1
001			397913
003			ES-MaUEC
005			20240314174447.0
006			a|||| o|||| 00| 0
007			cr nn 008mamaa
008			221129s2023 si | o |||| 0|eng d
020			_a9789811973697
024	7		_a10.1007/978-981-19-7369-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQ335 _b2023 EB
100	1		_aChen, Bernard _eautor _4http://id.loc.gov/vocabulary/relators/aut _9689488
245	1	0	_aWineinformatics : _bA New Data Science Application _cby Bernard Chen
250			_a1st ed 2023
264		1	_aSingapore _bSpringer Nature _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in Computer Science _x2191-5776
505	0		_aChapter 1 Introduction -- Chapter 2 Data collection and preprocessing -- Chapter 3 Classification in Wineinformatics -- Chapter 4 Regression on Wine Prediction -- Chapter 5 Analysis on Wine Reviewers -- Chapter 6 Advanced Application of the Computational Wine Wheel -- Chapter 7 Conclusion and Future Works.
520			_aWineinformatics 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.
988			_aSpringer_Computer_2023
650		7	_2embne _9413115 _aInteligencia artificial
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-7369-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eb _zSI