Text classification with Python 3.14's zstd module
Summary
The article demonstrates a compression-based text classification approach using Python 3.14's Zstd in the standard library. It explains building per-class compressors with ZstdDict, incremental updates, and evaluating on the 20 newsgroups dataset with around 91% accuracy and fast runtime, comparing favorably to older LZW methods and TF-IDF baselines. It notes the method's simplicity and encourages benchmarking while cautioning about production use.