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.
Duration: One Semester Goals: Build a specialized emotion recognition engine (ER) for human dialogs Supervisor: Dr. Pearl Pu Student Name: Open Keywords: Emotion Recognition, sentiment analysis, machine learning Abstract: Built on our lab’s competence in emotion recognition, this project aims at building a specialized emotion recognition engine for dialogs obtained from a big TV subtitle […]
Duration: One Semester Goals: Analyze relations between nutrition and emotional well-being based on the experiences reported in social media. Responsible TA: Pearl Pu Student Name: Othman Benchekroun Keywords: Emotion Recognition, Twitter, Data Analysis, Statistics, Social Media Analysis, Nutrition, Well-being Abstract: Nowadays, much about human behavior can be discovered from their online traces in social media. […]