Keras-TextClassification
The project offers multiple cutting-edge neural network models for efficient text classification, comprising top architectures such as BERT and XLNet. Users have the flexibility to utilize pre-trained models and embeddings or create custom solutions. With a user-friendly structure that supports various training and prediction scripts, the project simplifies the implementation process. Comprehensive documentation and examples assist in the swift adoption of these models in text analysis tasks.