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Experience is all you need: A large language model application of fine-tuned GPT-3.5 and RoBERTa for aspect-based sentiment analysis of college football stadium reviews  /

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Category: Data

Description: Training_AE.csv: Designed to fine-tune GPT-3.5 for AE, this dataset includes structured examples to train the model effectively. Training_CC.csv: Designed to fine-tune GPT-3.5 for CC, this dataset includes structured examples to train the model effectively. Testing_all_variables: This comprehensive testing dataset encompasses review texts and relevant metadata along with all the variables developed for statistical analysis. Testing_analysis.csv: Curated specifically for conducting statistical analysis of the current study. RoBERTa_eval_data.csv: Extracted from the training data, this dataset is intended for evaluating the RoBERTa model.

License: MIT License

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