Predicting and Visualizing Wine Characteristics Through Analysis of Tasting Notes from Viewpoints
When describing complex characteristics of a specific genre, specialist expressions are often used. This can become quite a problematic situation for an inexperienced person, as expressions not used in everyday language are difficult to understand. This is particularly apparent when trying to describe wines, known as winespeak, as a range of specialist expressions are used in a subjective manner. In this paper, we propose that the descriptions of wines can be analyzed from various points of view to automatically predict and visualize the sensory sentiment characteristics described within the expressions as a radar chart. This would enable those not knowledgeable in winespeak to visualize and compare the complex descriptions often found in expert tasting notes.
KeywordsSupport Vector Machine Feature Vector Support Vector Machine Classifier Support Vector Machine Model Sentiment Analysis
This work was partially supported by JSPS KAKENHI Grant Number 24500176.
- 2.Czerwinski, J.: Villa Maria 2009 Taylors Pass Vineyard Sauvignon Blanc (Marlborough) Wine Tasting Note (2010). http://buyingguide.winemag.com/catalog/villa-maria-2009-taylors-pass-vineyard-sauvignon-blanc-marlborough. Accessed 11 November 2014
- 3.Hirokawa, S., Flanagan, B., Suzuki, T., Yin, C.: Learning winespeak from mind map of wine blogs. In: Yamamoto, S. (ed.) HCI 2014, Part II. LNCS, vol. 8522, pp. 383–393. Springer, Heidelberg (2014)Google Scholar
- 4.Kerren, A., Prangova, M., Paradis, C.: Visualization of sensory perception descriptions. In: Proceedings of the International Conference on Information Visualization, pp. 135–144 (2011)Google Scholar