A few years ago, Wine Folly published a very nice subway-style infographic that characterizes aspects of wine reviews into twelve categories: body, yeast, style, tannin, acidity, alcohol, spice, fruit, flower, herb, oak, and inorganic. I was curious to know whether unsupervised machine learning could learn to create clusters of semantically similar terms. For instance, could it… Continue reading Of lemon peel and sweaty saddles: learning related wine descriptors
Is Robert Parker high? Comparing wine raters
In wine, ratings are everything. They drive at least price, sales, and reputation. The state of a winery’s balance sheet might hang on getting a good rating from an influential outfit such as Wine Spectator or Robert Parker. However, perceptions of wine are incredibly subjective; a fantastic Pinotage to me might taste like dirt to… Continue reading Is Robert Parker high? Comparing wine raters
What explains the price of wine?
One of wine’s appeal is that you can find a great bottle that you enjoy on any budget. While one can spend hundreds or thousands of dollars on a wine (so I’ve heard), there are also fantastic wines for under $10. Price is neither a reliable indicator of quality, nor of how much you might… Continue reading What explains the price of wine?
Data Science of Wine. Why?
Why write about data science of wine?