Trained model weight files for a non-commercial student machine-learning coursework
project (Korean movie-review sentiment classification: TF-IDF+LogisticRegression,
LSTM, KLUE-BERT). This repo exists only so the project's Streamlit demo app can fetch
these weights at runtime without hitting GitHub's Git LFS storage/bandwidth quota.
Training data: NSMC (Naver Sentiment Movie Corpus)
— 200,000 Korean movie reviews… See the full description on the dataset page:
https://huggingface.co/datasets/Ketose333/review-sentiment-assets.
