text-classification

NLP in Python with Deep Learning

An implementation of the BERT model and its related downstream tasks based on the PyTorch framework. @跟我学机器学习

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A flexible, adaptive classification system for dynamic text classification

Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.

情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification

pytextclassifier is a toolkit for text classification. 文本分类，LR，Xgboost，TextCNN，FastText，TextRNN，BERT等分类模型实现，开箱即用。