Enhancing museum visitor forecasting using deep learning and sentiment analysis: A transformer-based approach for sustainable management.

Models that leverage opinion mining exhibit statistically and practically significant improvements in forecasting accuracy, suggesting that visitor behavior is influenced not only by internal museum factors, such as exhibition content and operational schedules, but also by external social dynamics, including media coverage and public discourse.

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