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What Twitter Tells Us About Global Food Consumption & Emotion

A lot when combined with country Gross Domestic Product data from CIA World Factbook and obesity level data from World Heath Organization, finds Affect Lab, Ai Applied, and Jana + Koos. The groups recently created FoodMood, an interactive data visualization project that aims to measure global food sentiment. FoodMood applies natural language processing techniques to geo-located tweets about what people are eating and how they feel about their food, and then overlays them with the GDP and obesity data. Ultimately, FoodMood helps reveal a hidden layer of digital and social data that pushes the boundaries of awareness and understanding of our surroundings one step further.

Author: Publication Date: Crawl Date: Source: Topic: Contributor: Type: Language: Format:
June 25, 2012 July 01, 2012 www.forbes.com (User submitted) Applications MachineLearning NewsFinder Text English HTML

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Page last modified on July 02, 2012, at 12:00 AM