IntimateUser6969/text-classification-comparison

Text Classification Comparison: Supervised vs Unsupervised on stanfordnlp/imdb Dataset stanfordnlp/imdb (Maas et al., 2011) 50,000 IMDB movie reviews: 25,000 train / 25,000 test Binary sentiment: 0 (negative) / 1 (positive), perfectly balanced in both splits Preprocessing: TF-IDF (15,000 features, bigrams, sublinear TF, min_df=3) Models Chosen Model Type Key Reference Why Logistic Regression Linear supervised McFadden (1974); Ng &… See the full description on the dataset page: https://huggingface.co/datasets/IntimateUser6969/text-classification-comparison.