Tencent/NeuralNLP-NeuralClassifier
A PyTorch-based toolkit for hierarchical multi-label text classification using various neural encoders.
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NeuralClassifier provides implementations of multiple neural text encoders including TextCNN, TextRNN, RCNN, Transformer, and FastText for text classification tasks. It supports binary, multi-class, multi-label, and hierarchical multi-label classification scenarios. Built entirely on PyTorch, the toolkit enables quick experimentation with different model architectures for document classification.
Frequently asked
- What is Tencent/NeuralNLP-NeuralClassifier?
- A PyTorch-based toolkit for hierarchical multi-label text classification using various neural encoders.
- Is NeuralNLP-NeuralClassifier open source?
- Yes — Tencent/NeuralNLP-NeuralClassifier is an open-source project tracked on heatdrop.
- What language is NeuralNLP-NeuralClassifier written in?
- Tencent/NeuralNLP-NeuralClassifier is primarily written in Python.
- How popular is NeuralNLP-NeuralClassifier?
- Tencent/NeuralNLP-NeuralClassifier has 1.9k stars on GitHub.
- Where can I find NeuralNLP-NeuralClassifier?
- Tencent/NeuralNLP-NeuralClassifier is on GitHub at https://github.com/Tencent/NeuralNLP-NeuralClassifier.