Vacancies
| Details | |
|---|---|
| Project Title |
An adaptive COVID 19 sentiment analysis model by coupling textual lexicon and transfer learning |
| Location | Kampar Campus |
| Stipend | RM2,800.00 (T & C applies) |
| Education Level | Masters in Computer Science/Information Technology/ Computer Technology |
| Specific Skills / Knowledge Required | Computer Science/Information Technology or relevant technology background is preferable |
| Job Description | 1. To compare the performance and shortcomings on the classification performance of state-of-the-art Deep Learning Transformers on COVID 19 tweet datasets. 2. To investigate the traditional multi-label classification model (positive/negative) and a multi-class classification model to reflect the emotions rather than the abstract sentiment polarity. 3. To develop an emotion classification model that combines textual lexicon and transfer learning. |
| How to Apply | If you are interested, please contact Dr. Ramesh Kumar Ayyasamy at rameshkumar@utar.edu.my |
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