FoodMood was presented at When the City Meets the Citizen workshop in Dublin on 4 June as part of the 6TH International AAAI Conference On Weblogs and Social Media. The related academic paper, published by the Association for the Advancement of Artificial Intelligence, is available for download here.

Food Mood is an interactive data visualization and sentiment analysis tool using Twitter as a primary data source. It is a collaborative project between Affect Lab and the brilliant people at AI Applied and Jana + Koos.

Using natural language processing techniques, English-language tweets are collected and analyzed for sentiment, location and foodstuff. We capture, in real time, the foods that people are tweeting about and how they feel about them.

We then add a layer of public data about countries’ obesity and wealth to better understand the global food landscape.

Find the beta site at

4 thoughts on “

  1. Pingback: FoodMood: Measuring Global Food Sentiments via Twitter |

  2. Pingback: FoodMood Measures Global Food Sentiment | Food+Tech Connect

  3. Pingback: Strange Big Data: Some Food for Thought | SiliconANGLE

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