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Found 4 papers, 4 papers with code
Multi-source Multi-domain Sentiment Analysis with BERT-based Models
Sentiment analysis is one of the most widely studied tasks in natural language processing.
Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives
Deep Neural Networks (DNN) models have achieved acceptable performance in sentiment prediction of written text.
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Following a fast initial breakthrough in graph based learning, Graph Neural Networks (GNNs) have reached a widespread application in many science and engineering fields, prompting the need for methods to understand their decision process.
Global Explainability of GNNs via Logic Combination of Learned Concepts
While instance-level explanation of GNN is a well-studied problem with plenty of approaches being developed, providing a global explanation for the behaviour of a GNN is much less explored, despite its potential in interpretability and debugging.
