TransSentLog: Interpretable Anomaly Detection Using Transformer and Sentiment Analysis on Individual Log Event

TransSentLog: Interpretable Anomaly Detection Using Transformer and Sentiment Analysis on Individual Log Event

Event logs play a crucial role in monitoring the status of IT systems. These logs contain text that describes how a system operates using natural language, which can be associated with sentiment polarity. When a system is functioning correctly, event logs generally convey positive sentiment. However...

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Bibliographic Details
Main Authors: Tuan-Anh Pham, Jong-Hoon Lee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Log anomaly detection
transformer
sentiment analysis
system log
integrated gradients
Online Access:https://ieeexplore.ieee.org/document/10237208/

Internet

https://ieeexplore.ieee.org/document/10237208/

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