| 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`. | |