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arXiv Machine Learning By Manu Nandan, Michael Brautbar, Edward Raff

Fast And Accurate Text Content File Type Identification

Read the original on arXiv Machine Learning →

The paper introduces a neural network model that identifies text content file types, especially source code, with higher accuracy and speed than existing tools. Experiments on open-source files show the model is more accurate on average, runs about four times faster than Magika, and is 28% smaller in size.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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