|Goals:||Build an emotion recognizer for text using deep learning methods|
|Supervisor:||Dr. Pearl Pu|
|Keywords:||Emotion recognition, classification, deep learning, machine learning|
This project aims at analyzing the emotions presented in some given text using deep learning approaches. This is usually cast as a multi-class (or multi-label) classification problem, where a given piece of text (for example a tweet, a review for some movie, or a piece of news) is classified into one (or several) emotion category (categories). Current deep learning methods for the task of text classification include convolutional neural networks, recurrent neural networks, or hybrid models.
During the project, the student is supposed to:
|Related Skills:||Background or interest in machine learning, deep learning, and natural language processing|
|Suitable for:||Master Student. Interested student should contact Dr. Pu along with a copy of your CV.|