Machine Learning & Sentiment Analysis Tool (2012)
Food Mood is an interactive information visualization and sentiment analysis tool about global food consumption using Twitter as a primary data source. It is a collaboration between affect lab, AI Applied and Jana+Koos.
Using natural language processing techniques, all English language tweets were collected and analyzed for sentiment, location and foodstuff. The tool captured, in real time, the foods that people were tweeting about and how they felt about them.
The project used public-access data from the World Health Organization (country obesity levels) and country GDP data (CIA Factbook) to develop a well-rounded picture about the relationship between food and emotion.