Shypd.aiThe largest open index of AI toolsMulti-Label-Text-Classification is an open-source tool for multi-label text classification based on neural networks. It provides a foundation for deep learning projects focused on text analysis.
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Multi-Label-Text-Classification is an open-source project designed for multi-label text classification using various deep neural network architectures. It supports models like FastText, CNN, RNN, CRNN, RCNN, HAN, and SANN, offering a comprehensive toolkit for researchers and developers. The project is built with Python 3.6 and TensorFlow 1.15.0, providing functionalities for data preprocessing, model training, and evaluation. It supports both English and Chinese text data, allowing for custom word vector integration and embedding visualization via TensorBoard. Key features include L2 loss calculation, gradient clipping, learning rate decay, and the ability to save multiple best checkpoints, making it a robust platform for experimenting with and implementing advanced text classification solutions.
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