Using both self- and pre-trained Word2Vec and FastText models to spot anomalies in event logs
Goal of this project was to utilize new and established NLP methods to provide semantic understanding for event descriptions.
This project also introduces a new approach of processing event logs together with vector embeddings to spot anomalies in given event logs.
Models used: Self- and pre-trained Word2Vec, FastText
React
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An Open Source Machine Learning Framework for Everyone
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