songyouwei/ABSA-PyTorch

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

2114 stars · 518 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

PyTorch implementations of aspect-based sentiment analysis (ABSA) models, including attention-based and BERT-based approaches for aspect-term sentiment classification. It provides training and inference scripts over standard ABSA datasets like SemEval restaurant and laptop reviews.

Use cases

• classify sentiment toward specific aspect terms in reviews
• train BERT-based aspect sentiment classifiers
• reproduce ABSA research models like BERT-SPC and BERT-ADA
• run sentiment analysis on restaurant and laptop review datasets
• experiment with attention mechanisms for aspect-level sentiment

When to choose

• you need reference PyTorch implementations of classic ABSA models
• you want BERT-based aspect-target sentiment classification with training scripts
• you are doing NLP research or coursework on aspect-based sentiment analysis

When to avoid

• you need a production-ready ABSA pipeline with flexible training and aspect term extraction (use PyABSA instead)
• you need general sentence-level sentiment analysis rather than aspect-based
• you need maintained support for recent Python or transformers versions

Facets

library · maturity maintenance

nlp machine-learning deep-learning machine-learning deep-learning python aspect-based-sentiment-analysis sentiment-analysis pytorch bert attention research-code natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="songyouwei/ABSA-PyTorch")