000 02588nam a2200373Ia 4500
000 03117nam a22003975i 4500
001 978-981-19-7369-7
003 DE-He213
005 20240319120752.0
007 cr nn 008mamaa
008 221129s2023 si | s |||| 0|eng d
020 _a9789811973697
_9978-981-19-7369-7
082 _a5.7
100 _aChen, Bernard.
_928154
245 _aWineinformatics
_cby Bernard Chen.
_h[electronic resource] :
250 _a1st ed. 2023.
260 _aSingapore
_bSpringer Nature Singapore
_c2023
300 _aIX, 69 p. 1 illus.
_bonline resource.
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.
650 _aArtificial intelligence
_928155
650 _aBusiness information services.
_928156
650 _aBusiness Information Systems.
_928157
650 _aComputer Application in Social and Behavioral Sciences.
_928158
650 _aData Science.
_928159
650 _aExpert systems (Computer science).
_928160
650 _aKnowledge Based Systems.
_928161
650 _aMachine learning.
_928162
650 _aMachine Learning.
_928163
650 _aNatural language processing (Computer science).
_928164
650 _aNatural Language Processing (NLP).
_928165
650 _aSocial sciences
_928166
856 _uhttps://doi.org/10.1007/978-981-19-7369-7
942 _cEBK
_2ddc
999 _c14933
_d14933