{"title":"Hugh Johnson and Jancis Robinson. The World Atlas of Wine, 8th edition Mitchell Beazley, London, 2019, 416 pp., ISBN 978-1-78472-403-1 (hardcover), $35.37.","authors":"K. Anderson","doi":"10.1017/jwe.2022.13","DOIUrl":"https://doi.org/10.1017/jwe.2022.13","url":null,"abstract":"","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"173 - 174"},"PeriodicalIF":1.4,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43722114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
used in the Atlas. Unsurprisingly, France still fills the first 100 pages. It is followed by Italy (35 pages), Germany (25), Spain (20), Portugal (15), and the rest of Europe (40). Thus, the so-called Old World comprises two-thirds of the map pages—which is almost exactly their share of global wine production and exports. The New World (North America, South America, Australia/New Zealand, and South Africa) make up the next 100 pages, and Asia (Japan and China) is given 6 pages and 5 maps. The final 25 pages contain a very detailed index and a Gazetteer to help the reader find, for example, the map with their favorite chateau.
{"title":"André Hueston Mack. 99 Bottles: A Black Sheep's Guide to Life-Changing Wines Abrams Image, New York, 2019, 255 pp., ISBN 978-1-4197-3457-1, $24.99.","authors":"Roger C. Noll","doi":"10.1017/jwe.2022.14","DOIUrl":"https://doi.org/10.1017/jwe.2022.14","url":null,"abstract":"used in the Atlas. Unsurprisingly, France still fills the first 100 pages. It is followed by Italy (35 pages), Germany (25), Spain (20), Portugal (15), and the rest of Europe (40). Thus, the so-called Old World comprises two-thirds of the map pages—which is almost exactly their share of global wine production and exports. The New World (North America, South America, Australia/New Zealand, and South Africa) make up the next 100 pages, and Asia (Japan and China) is given 6 pages and 5 maps. The final 25 pages contain a very detailed index and a Gazetteer to help the reader find, for example, the map with their favorite chateau.","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"174 - 176"},"PeriodicalIF":1.4,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43504566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
My only criticism of the book, which is picky, is its title. If one just came across the book while browsing and looked at its title, one might think the book was an effort to dissuade people from drinking wine. The subtitle—“A Master Guide”—belies that interpretation but could easily go unnoticed since it is in a much smaller font. The authors operate an online website and store with the same name, so perhaps naming the book after the website is an effort to publicize the store. Not surprisingly, one can buy the book at the store.
{"title":"GERARD BASSET. Tasting Victory: The Life and Wines of the World's Favourite Sommelier. London, Unbound, 2020, 256 pp., ISBN 978-1-78352-861-5 (ebook), $17.99.","authors":"N. Vink","doi":"10.1017/jwe.2022.7","DOIUrl":"https://doi.org/10.1017/jwe.2022.7","url":null,"abstract":"My only criticism of the book, which is picky, is its title. If one just came across the book while browsing and looked at its title, one might think the book was an effort to dissuade people from drinking wine. The subtitle—“A Master Guide”—belies that interpretation but could easily go unnoticed since it is in a much smaller font. The authors operate an online website and store with the same name, so perhaps naming the book after the website is an effort to publicize the store. Not surprisingly, one can buy the book at the store.","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"83 - 86"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47177737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Duwani Katumullage, Chenyu Yang, Jackson Barth, Jing Cao
Abstract Wines are usually evaluated by wine experts and enthusiasts who give numeric ratings as well as text reviews. While most wine classification studies have been based on conventional statistical models using numeric variables, there has been very limited work on implementing neural network models using wine reviews. In this paper, we apply neural network models (CNN, BiLSTM, and BERT) to extract useful information from wine reviews and classify wines according to different rating classes. Using a large collection of wine reviews from Wine Spectator, the study shows that BERT, a neural network framework recently developed by Google, has the best performance. In the two-class classification (90–100 and 80–89), BERT achieves an accuracy of 89.12%, followed by BiLSTM (88.69%) and CNN (88.02%). In the four-class classification (95–100, 90–94, 85–89, and 80–84), BERT yields an 81.57% accuracy, while the other two produce an 80% accuracy. The neural network models in the paper are independent of domain knowledge and thus can be easily extended to other kinds of text analysis. Expanding the limited work on wine text review classification studies, these models are up-to-date and provide valuable additions to wine data analysis. (JEL Classifications: C45, C88, D83)
{"title":"Using Neural Network Models for Wine Review Classification","authors":"Duwani Katumullage, Chenyu Yang, Jackson Barth, Jing Cao","doi":"10.1017/jwe.2022.2","DOIUrl":"https://doi.org/10.1017/jwe.2022.2","url":null,"abstract":"Abstract Wines are usually evaluated by wine experts and enthusiasts who give numeric ratings as well as text reviews. While most wine classification studies have been based on conventional statistical models using numeric variables, there has been very limited work on implementing neural network models using wine reviews. In this paper, we apply neural network models (CNN, BiLSTM, and BERT) to extract useful information from wine reviews and classify wines according to different rating classes. Using a large collection of wine reviews from Wine Spectator, the study shows that BERT, a neural network framework recently developed by Google, has the best performance. In the two-class classification (90–100 and 80–89), BERT achieves an accuracy of 89.12%, followed by BiLSTM (88.69%) and CNN (88.02%). In the four-class classification (95–100, 90–94, 85–89, and 80–84), BERT yields an 81.57% accuracy, while the other two produce an 80% accuracy. The neural network models in the paper are independent of domain knowledge and thus can be easily extended to other kinds of text analysis. Expanding the limited work on wine text review classification studies, these models are up-to-date and provide valuable additions to wine data analysis. (JEL Classifications: C45, C88, D83)","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"27 - 41"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44458767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chenyu Yang, Jackson Barth, Duwani Katumullage, Jing Cao
Abstract There is an ongoing debate on whether wine reviews provide meaningful information on wine properties and quality. However, few studies have been conducted aiming directly at comparing the utility of wine reviews and numeric measurements in wine data analysis. Based on data from close to 300,000 wines reviewed by Wine Spectator, we use logistic regression models to investigate whether wine reviews are useful in predicting a wine's quality classification. We group our sample into one of two binary quality brackets, wines with a critical rating of 90 or above and the other group with ratings of 89 or below. This binary outcome constitutes our dependent variable. The explanatory variables include different combinations of numerical covariates such as the price and age of wines and numerical representations of text reviews. By comparing the explanatory accuracy of the models, our results suggest that wine review descriptors are more accurate in predicting binary wine quality classifications than are various numerical covariates—including the wine's price. In the study, we include three different feature extraction methods in text analysis: latent Dirichlet allocation, term frequency-inverse document frequency, and Doc2Vec text embedding. We find that Doc2Vec is the best performing feature extraction method that produces the highest classification accuracy due to its capability of using contextual information from text documents. (JEL Classifications: C45, C88, D83)
{"title":"Wine Review Descriptors as Quality Predictors: Evidence from Language Processing Techniques","authors":"Chenyu Yang, Jackson Barth, Duwani Katumullage, Jing Cao","doi":"10.1017/jwe.2022.3","DOIUrl":"https://doi.org/10.1017/jwe.2022.3","url":null,"abstract":"Abstract There is an ongoing debate on whether wine reviews provide meaningful information on wine properties and quality. However, few studies have been conducted aiming directly at comparing the utility of wine reviews and numeric measurements in wine data analysis. Based on data from close to 300,000 wines reviewed by Wine Spectator, we use logistic regression models to investigate whether wine reviews are useful in predicting a wine's quality classification. We group our sample into one of two binary quality brackets, wines with a critical rating of 90 or above and the other group with ratings of 89 or below. This binary outcome constitutes our dependent variable. The explanatory variables include different combinations of numerical covariates such as the price and age of wines and numerical representations of text reviews. By comparing the explanatory accuracy of the models, our results suggest that wine review descriptors are more accurate in predicting binary wine quality classifications than are various numerical covariates—including the wine's price. In the study, we include three different feature extraction methods in text analysis: latent Dirichlet allocation, term frequency-inverse document frequency, and Doc2Vec text embedding. We find that Doc2Vec is the best performing feature extraction method that produces the highest classification accuracy due to its capability of using contextual information from text documents. (JEL Classifications: C45, C88, D83)","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"64 - 80"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44564540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Here, the book does well. It has a first-rate index, contains an entertaining 43-page personal history of the author’s involvement with wine, includes a first-course lesson/ chapter, which provides 28 well-done pages about grapes, weather, fermentation, wine chemistry, aging, bottles,1 glasses, and wine labels. Three of those pages show striking photographs. This recurring theme—pages devoted to photographs, not to teaching nor to reference material—contributes to coffee table status. In my opinion, the best teaching material in the book is the 19.5 pages devoted to the physiology and biology of taste and smell.
{"title":"KEVIN ZRALY. Windows on the World Complete Wine Course: Revised & Updated, 35th ed. Sterling Epicure, New York, NY, 2021, 464 pp., ISBN-13: 978-1454942177 (hardcover), $35.00.","authors":"R. L. Weil","doi":"10.1017/jwe.2022.9","DOIUrl":"https://doi.org/10.1017/jwe.2022.9","url":null,"abstract":"Here, the book does well. It has a first-rate index, contains an entertaining 43-page personal history of the author’s involvement with wine, includes a first-course lesson/ chapter, which provides 28 well-done pages about grapes, weather, fermentation, wine chemistry, aging, bottles,1 glasses, and wine labels. Three of those pages show striking photographs. This recurring theme—pages devoted to photographs, not to teaching nor to reference material—contributes to coffee table status. In my opinion, the best teaching material in the book is the 19.5 pages devoted to the physiology and biology of taste and smell.","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"87 - 89"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44195203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"MADELINE PUCKETTE and JUSTIN HAMMACK: Wine Folly: The Master Guide. Avery - A Penguin Imprint, New York, NY, 2018, 320 pp., ISBN 978-0525533894 (hardcover), $35.00.","authors":"J. Newhouse","doi":"10.1017/jwe.2022.6","DOIUrl":"https://doi.org/10.1017/jwe.2022.6","url":null,"abstract":"","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"81 - 83"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43990111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
An advantage of this book’s being revised annually is that you can buy recent editions on the used book market (e.g., at www.abebooks.com) for about half the cost of the latest edition. You will still get most of the good stuff the 35th edition offers. On the other hand, if you want a solid, inexpensive reference book, I recommend early editions of Jancis Robinson’s (2006) Oxford Companion to Wine.
这本书每年修订的一个好处是，你可以在二手书市场（例如，在www.abebooks.com）上购买最新版本，价格大约是最新版的一半。你仍然会得到第35版提供的大部分好东西。另一方面，如果你想要一本扎实、廉价的参考书，我推荐Jancis Robinson（2006）的《牛津葡萄酒指南》（Oxford Companion to Wine）的早期版本。
{"title":"MICHAEL DWECK and GREGORY KERSHAW (Directors). The Truffle Hunters. Written by Michael Dweck and Gregory Kershaw. Produced by Michael Dweck and Gregory Kershaw. Distributed by Sony Pictures Classics, 2021, 1 h 24 min.","authors":"K. Shepsle","doi":"10.1017/jwe.2022.8","DOIUrl":"https://doi.org/10.1017/jwe.2022.8","url":null,"abstract":"An advantage of this book’s being revised annually is that you can buy recent editions on the used book market (e.g., at www.abebooks.com) for about half the cost of the latest edition. You will still get most of the good stuff the 35th edition offers. On the other hand, if you want a solid, inexpensive reference book, I recommend early editions of Jancis Robinson’s (2006) Oxford Companion to Wine.","PeriodicalId":56146,"journal":{"name":"Journal of Wine Economics","volume":"17 1","pages":"89 - 91"},"PeriodicalIF":1.4,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49300172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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