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license: mit
tags: [sentiment-analysis, retail, reviews, text-classification]
---
# ReviewGuard trained models
Models behind the ReviewGuard review-triage app.
- `roberta_sentiment/`: RoBERTa fine-tuned on 72,000 Amazon Reviews 2023 reviews.
It predicts negative, neutral or positive.
- `distilroberta_sentiment/`: a smaller, faster version trained the same way.
- `classical/`: TF-IDF with Naive Bayes and Logistic Regression baselines.
- `issue_student.joblib`: issue classifier distilled from a zero-shot teacher.
- `photo_calibration.json` and `lexicon_bands.json`: calibration and tuning settings.
Download them into the project with `python pipeline.py fetch-models`.
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