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Found 4 papers, 1 papers with code
Oversampling Log Messages Using a Sequence Generative Adversarial Network for Anomaly Detection and Classification
In this paper, a model is proposed to generate text log messages using a SeqGAN network.
Log Message Anomaly Detection and Classification Using Auto-B/LSTM and Auto-GRU
These models are used to convert unstructured log data to extracted features which is suitable for classification algorithms.
SCC: Automatic Classification of Code Snippets
Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming language of source code files.
Predicting the Programming Language of Questions and Snippets of StackOverflow Using Natural Language Processing
The classifier achieves an accuracy of 91. 1% in predicting the 24 most popular programming languages by combining features from the title, body and the code snippets of the question.
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