From Traditional ML to Transformers - A Comprehensive Guide
News Articles
Categories
Models Tested
Accuracy Range
From exploratory analysis to state-of-the-art transformers - complete text classification workflows
Interactive EDA with visualizations, word clouds, class distribution, and text statistics
TF-IDF + classical classifiers: Naive Bayes, SVM, Logistic Regression, Random Forest
Systematic comparison of 240 pipelines with 6 extractors, 4 reducers, and 10 classifiers
Fine-tune BERT, DistilBERT, and TinyBERT with [CLS] token pooling for classification