: Explaining the decision-making process of "black-box" Deep Learning (DL) models used in text classification , particularly within the biomedical domain.
: Common architectures include Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) used to model complex relationships in text data. 113941
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. : Explaining the decision-making process of "black-box" Deep
: These models often require large datasets and can be sensitive to "adversarial noise" (small character-level changes that fool the AI). Key Details of the Research Authors : Milad
: Sentiment analysis of customer reviews, biomedical literature summarization, and disease-treatment classification.
In this context, "deep text" refers to the application of techniques to Natural Language Processing (NLP) .