: It addresses the "black-box" problem where complex neural networks provide accurate results but lack transparency, which is critical for high-stakes fields like healthcare. Understanding "Deep Text"
: Sentiment analysis of customer reviews, biomedical literature summarization, and disease-treatment classification. 113941
: These models often require large datasets and can be sensitive to "adversarial noise" (small character-level changes that fool the AI). : It addresses the "black-box" problem where complex
: Explaining the decision-making process of "black-box" Deep Learning (DL) models used in text classification , particularly within the biomedical domain. biomedical literature summarization