hellonlp/classifier-multi-label
Multi-label text classification toolkit implementing BERT, TextCNN, dense, and seq2seq approaches in TensorFlow.
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This repository provides implementations for multi-label text classification using multiple neural architectures. It supports BERT-based classification using the [CLS] token embedding, TextCNN on BERT outputs, dense layers, and seq2seq models. The library uses sigmoid cross-entropy loss for multi-label prediction and includes utilities for handling variable-length label assignments.
Frequently asked
- What is hellonlp/classifier-multi-label?
- Multi-label text classification toolkit implementing BERT, TextCNN, dense, and seq2seq approaches in TensorFlow.
- Is classifier-multi-label open source?
- Yes — hellonlp/classifier-multi-label is an open-source project tracked on heatdrop.
- What language is classifier-multi-label written in?
- hellonlp/classifier-multi-label is primarily written in Python.
- How popular is classifier-multi-label?
- hellonlp/classifier-multi-label has 807 stars on GitHub.
- Where can I find classifier-multi-label?
- hellonlp/classifier-multi-label is on GitHub at https://github.com/hellonlp/classifier-multi-label.