TransSentLog: Interpretable Anomaly Detection Using Transformer and Sentiment Analysis on Individual Log Event
Author:
Affiliation:
1. Department of AI Laboratory, MOADATA, Global Convergence Center, Seongnam-si, South Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10237208.pdf?arnumber=10237208
Reference28 articles.
1. Sentiment Analysis in a Forensic Timeline With Deep Learning
2. Employee profiling via aspect-based sentiment and network for insider threats detection
3. Glove: Global Vectors for Word Representation
4. SentiLog
5. Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams
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