BERT

Interpretable sentiment-aware transformer-based model for individual log anomaly detection in distributed systems using word-level explanations

An interpretable, sentiment-aware transformer model (BERT-ITPT-FiT) combined with SHAP for parser-free, word-level explainable anomaly detection in individual log entries.