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: Common architectures include Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) used to model complex relationships in text data.

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

: 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