: Explaining the decision-making process of "black-box" Deep Learning (DL) models used in text classification , particularly within the biomedical domain.
Post-hoc explanation of black-box classifiers using confident itemsets 113941
If you tell me more about what you're looking for, I can provide more details: Do you need help text classification models? : Explaining the decision-making process of "black-box" Deep
: The paper introduces Confident Itemsets Explanation (CIE) , a model-agnostic method that identifies sets of features (words or tokens) that strongly influence a model's prediction. : It addresses the "black-box" problem where complex
: It addresses the "black-box" problem where complex neural networks provide accurate results but lack transparency, which is critical for high-stakes fields like healthcare. Understanding "Deep Text"
In this context, "deep text" refers to the application of techniques to Natural Language Processing (NLP) .