Replication Package: Comparing TF-IDF, Sentence-BERT, and LSTM for Self-Admitted Technical Debt Classification

Replication Package This replication package contains supplementary materials for the study "Comparing TF-IDF, Sentence-BERT, and LSTM for Self-Admitted Technical Debt Classification". Dataset The dataset is provided as: technical_debt_dataset.csv Columns: projectname classification commenttext Experiments Experiment 01:Comparison of textual representations and classifiers. Experiment 02:Impact of data balancing using ADASYN. Requirements Python 3.11+ Install dependencies: pip install -r requirements.txt Reproducibility Each experiment can be executed independently using the provided scripts. All reported metrics were generated using the files included in this package.