B. Chau

A Large-Scale Vietnamese News Dataset for Text Classification: Construction and Evaluation

This study analyzes classification performance through four critical dimensions: model architecture, temporal data shift, source-origin bias, and training data scale, and reveals distinct learning behaviors across model families: transformer models benefit increasingly from larger training sets, whereas the strongest traditional and deep learning baselines remain competitive throughout the evaluated range.