brightmart/text_classification
A repository of deep learning text classification models including TextCNN, TextRNN, and support for BERT/ALBERT fine-tuning.
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This repository provides baseline models for text classification tasks in NLP using deep learning. It includes implementations of classic architectures like TextCNN, TextRNN, and integrates with pre-trained models such as BERT and ALBERT. The project supports both multi-class and multi-label classification scenarios, with models trained using TensorFlow.
Frequently asked
- What is brightmart/text_classification?
- A repository of deep learning text classification models including TextCNN, TextRNN, and support for BERT/ALBERT fine-tuning.
- Is text_classification open source?
- Yes — brightmart/text_classification is open source, released under the MIT license.
- What language is text_classification written in?
- brightmart/text_classification is primarily written in Python.
- How popular is text_classification?
- brightmart/text_classification has 7.9k stars on GitHub.
- Where can I find text_classification?
- brightmart/text_classification is on GitHub at https://github.com/brightmart/text_classification.