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AI/ML

Sentiment Bundle Benchmark

Compare sentiment models on the same terms

TF-IDF, embeddings, fine-tuned encoders and a local language model, evaluated on fixed splits across six sentiment datasets. The successor to GURA.

Source11 stars on GitHub(opens in a new tab)Docs(opens in a new tab)
Role
Creator & Maintainer
Period
2026 – 2026.11
Status
Completed
Theme
AI, vision & medical imaging
Sentiment Bundle Benchmark, screenshot 1

Overview

A reproducible sentiment-classification benchmark across MyAnimeList reviews and five classic English datasets. Fixed splits and seeds support comparisons of accuracy, macro-F1, training time, inference speed, memory and model size. It replaces the older GURA BiGRU experiment.

Features

  • Six datasets with fixed splits and seeds
  • TF-IDF, embeddings, ModernBERT, DeBERTa-v3 and local-model baselines
  • Accuracy, macro-F1, runtime, memory and model-size reports
  • Dataset bundle available on Hugging Face
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