BioinformaticsbioRxivPreprint
Hybrid TF-IDF and SBERT Feature Engineering with SMOTE-Tomek Resampling for Enhanced Software Requirements Classification
The paper presents a hybrid feature engineering approach combining TF-IDF and SBERT embeddings with SMOTE-Tomek resampling to improve software requirements classification accuracy.
DOI 10.64898/2026.01.13.699413