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I've decided to play around with Facebook's FastText NLP library. Here I use data gathered from thousands of user bug reports to predict which ones are actual bugs just from their descriptions. So far it is capable of achieving ~80% accuracy with 200,000 learning samples.

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Neuron

This repository contains code for testing out Facebook's FastText library for text classification. Data is gathered from FogBugz user submissions.

Disclaimer

FastText library is only compatible with macOS and Linux, therefore this code will not work on Windows.

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I've decided to play around with Facebook's FastText NLP library. Here I use data gathered from thousands of user bug reports to predict which ones are actual bugs just from their descriptions. So far it is capable of achieving ~80% accuracy with 200,000 learning samples.

Topics

natural-language-processing python3 neural-networks fogbugz

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