: These models often require large datasets and can be sensitive to "adversarial noise" (small character-level changes that fool the AI).
: Sentiment analysis of customer reviews, biomedical literature summarization, and disease-treatment classification.
: 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
If you tell me more about what you're looking for, I can provide more details: Do you need help text classification models?
In this context, "deep text" refers to the application of techniques to Natural Language Processing (NLP) .
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