2021
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis
AAAI 2021technical
This paper proposes human-interpretable learning of aspect-based sentiment analysis (ABSA), employing the recently introduced Tsetlin Machines (TMs). We attain interpretability by converting the intricate position-dependent textual semantics into binary form, mapping all the features into bag-of-wor…