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praiseprince/absa-customer-insights-model
absa-customer-insights-model is a machine learning model from praiseprince. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This model is a fine-tuned distilbert-base-uncased sequence classifier for aspect-conditioned sentiment classification on restaurant review aspects.
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From the Hugging Face model README
This model is a fine-tuned distilbert-base-uncased sequence classifier for aspect-conditioned sentiment classification on restaurant review aspects.
Input format:
review: The food was excellent, but the service was slow. [SEP] aspect: service
Labels:
Held-out evaluation results from the project split:
| Metric | Score |
|---|---|
| Accuracy | 0.783 |
| Macro-F1 | 0.541 |
| Weighted-F1 | 0.771 |
The model was created for the PROG74040 Phase II course project prototype. The rare conflict class remains the weakest class due to limited support.