Project Title An adaptive COVID 19 sentiment analysis model by coupling textual lexicon and transfer learning
LocationKampar Campus
StipendRM2,800.00 (T & C applies)
Education Level Masters in Computer Science/Information Technology/ Computer Technology
Specific Skills / Knowledge RequiredComputer Science/Information Technology or relevant technology background is preferable
Job Description1. 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 ApplyIf you are interested, please contact Dr. Ramesh Kumar Ayyasamy at