Aspect-Based Sentiment Analysis of Social Media Data With Pre-Trained Language Models

There is a great scope in utilizing the increasing content expressed by users on social media platforms such as Twitter. This study explores the application of Aspect-based Sentiment Analysis (ABSA) of tweets to retrieve fine-grained sentiment insights. The Plant-based food domain is chosen as an area of focus. To the best of our knowledge this is the first time ABSA task is done for this sector and it is distinct from standard food products because different and controversial aspects arise and opinions are polarized.