: 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"
: Sentiment analysis of customer reviews, biomedical literature summarization, and disease-treatment classification. 113941
Post-hoc explanation of black-box classifiers using confident itemsets : It addresses the "black-box" problem where complex
: Explaining the decision-making process of "black-box" Deep Learning (DL) models used in text classification , particularly within the biomedical domain. Are you researching for a specific industry
Are you researching for a specific industry?
: 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.
If you tell me more about what you're looking for, I can provide more details: Do you need help text classification models?