songyouwei/ABSA-PyTorch
PyTorch implementations of BERT and attention-based models for aspect-based sentiment analysis tasks.
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This repository provides PyTorch implementations of various deep learning models for aspect-based sentiment analysis (ABSA), including BERT-based approaches and attention mechanisms. It includes training scripts, inference examples, and supports both non-BERT models (using GloVe embeddings) and BERT-based models. The framework is designed for NLP research and application development in sentiment classification.
Frequently asked
- What is songyouwei/ABSA-PyTorch?
- PyTorch implementations of BERT and attention-based models for aspect-based sentiment analysis tasks.
- Is ABSA-PyTorch open source?
- Yes — songyouwei/ABSA-PyTorch is open source, released under the MIT license.
- What language is ABSA-PyTorch written in?
- songyouwei/ABSA-PyTorch is primarily written in Python.
- How popular is ABSA-PyTorch?
- songyouwei/ABSA-PyTorch has 2.1k stars on GitHub.
- Where can I find ABSA-PyTorch?
- songyouwei/ABSA-PyTorch is on GitHub at https://github.com/songyouwei/ABSA-PyTorch.