113941

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

In this context, "deep text" refers to the application of techniques to Natural Language Processing (NLP) . 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. Key Details of the Research Authors : Milad

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

: 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

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.