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Post-hoc explanation of black-box classifiers using confident itemsets

: Sentiment analysis of customer reviews, biomedical literature summarization, and disease-treatment classification. 113941

If you tell me more about what you're looking for, I can provide more details: Do you need help text classification models? biomedical literature summarization

: Explaining the decision-making process of "black-box" Deep Learning (DL) models used in text classification , particularly within the biomedical domain. 113941

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: These models often require large datasets and can be sensitive to "adversarial noise" (small character-level changes that fool the AI).

: 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"