Emotion Recognition in Human Dialogs | HUMAN-COMPUTER INTERACTION GROUP

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 dataset. The responsible student will: Survey the state-of-the-art methods in text-based emotion recognition Build an ER from basic lexicons to gradually more domain-specific ones Semi-supervised machine learning Validate the method
Related Skills:	Strong background in data mining, machine learning, and statistics. Interest in natural language processing and emotion modeling.
Suitable for:	Master Student. Interested student should contact Dr. Pu along with a copy of your CV.