We present a tool that enables users to browse hundreds of tweets related to both food and mood. By placing these tweets on a wheel, the user can visualize how moods are correlated with a certain food. Run this demo.
Our project on “Emotion Analysis in Text” made it to EPFL Headline News. Mediacom published a news article about our work on February 7th, 2014, just before the Olympic Winter Games started. You can read it here. It is devoted to EmotionWatch, the system that we have developed to track and visualize multiple emotions people […]
Title: Emotional Kineticons in Online Social Environment Duration: One semester (February – June 2012) Responsible TA: Yu Chen Student Name: Alfredo Cerezo Luna Goals: Visualize and express emotions in online social environments. Solution: Embed emotion in Facebook profile pictures. Keywords: Interface Design, Emotion Visualization Abstract: We started by defining a library of 9 kineticons according […]