Training_AE: This training dataset is tailored for the fine-tuning of GPT-3.5 to extract aspects (AE).

Training_CC: This training dataset is tailored for the fine-tuning of GPT-3.5 to classify aspects (CC).

Testing_all_variables: This comprehensive testing dataset encompasses review texts and relevant metadata along with all the variables developed for statistical analysis.

Testing_analysis: This testing dataset is specifically curated for conducting statistical analysis.

RoBERTa_eval_data: This dataset, extracted from the training data, is used for model evaluation.

Python_code_SMR: Python code ran on Google Colab is provided for performing all the analyses in the study.