How to use NeuralClassifier, a library that provides a crazy number of models for document classification problems

[! [](https://1.bp.blogspot.com/-YlMb8v77MN4/XurdQSzS1yI/AAAAAAAAg6Y/oSZrJ0c9yxYbzQnNNTynRvZnEp-xGE7NwCK4BGAsYHg/s320/AFE90C8A-A49C- 4475-9F05-50E2D56D5B63.jpeg)](https://1.bp.blogspot.com/-YlMb8v77MN4/XurdQSzS1yI/AAAAAAAAg6Y/oSZrJ0c9yxYbzQnNNTynRvZnEp-xGE7NwCK4 BGAsYHg/s1920/AFE90C8A-A49C-4475-9F05-50E2D56D5B63.jpeg) NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit is a python library for multi-label document classification problems published by Tencent. For more information, see [NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit](https://github.com/Tencent/NeuralNLP- NeuralClassifier) NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. for more details. NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. [Read More]