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020 _a9789811973697
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024 7 _a10.1007/978-981-19-7369-7
_2doi
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072 7 _aUN
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072 7 _aCOM021000
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082 0 4 _a005.7
_223
100 1 _aChen, Bernard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aWineinformatics
_h[electronic resource] :
_bA New Data Science Application /
_cby Bernard Chen.
250 _a1st ed. 2023.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2023.
300 _aIX, 69 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aArtificial intelligence
_xData processing.
650 0 _aMachine learning.
650 0 _aNatural language processing (Computer science).
650 0 _aExpert systems (Computer science).
650 0 _aBusiness information services.
650 0 _aSocial sciences
_xData processing.
650 1 4 _aData Science.
650 2 4 _aMachine Learning.
650 2 4 _aNatural Language Processing (NLP).
650 2 4 _aKnowledge Based Systems.
650 2 4 _aBusiness Information Systems.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811973680
776 0 8 _iPrinted edition:
_z9789811973703
830 0 _aSpringerBriefs in Computer Science,
_x2191-5776
856 4 0 _uhttps://doi.org/10.1007/978-981-19-7369-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c175838
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