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.