113941 🆓

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

The identifier refers to a specific research article titled "Post-hoc explanation of black-box classifiers using confident itemsets" , published in the journal Expert Systems with Applications (Volume 165, March 2021). Key Details of the Research Authors : Milad Moradi and Matthias Samwald. 113941

: 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.

Post-hoc explanation of black-box classifiers using confident itemsets Are you researching for a specific industry

In this context, "deep text" refers to the application of techniques to Natural Language Processing (NLP) .

If you tell me more about what you're looking for, I can provide more details: Do you need help text classification models? Key Details of the Research Authors : Milad

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