March – September 2020
In collaboration with Emotech
Department of Computer Science,
UCL,
London, United Kingdom
This project involved the application of the Albert language model to the problem of aspect-based sentiment analysis (ABSA).
We adapted an adversarial training framework for ABSA tasks, substituting the smallest Albert model for larger and slower
BERT-based models. We then trained the model using PyTorch using eight publicly available ABSA datasets covering two languages.
Read more here.