AspectLens DistilBERT ABSA Classifier

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:

  • negative
  • neutral
  • positive
  • conflict

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.

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Dataset used to train praiseprince/absa-customer-insights-model

Space using praiseprince/absa-customer-insights-model 1