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What is 1enhancing Museum Visitor Forecasting Using Deep Le about?

This research article presents a novel forecasting model for predicting museum visitor numbers by integrating structured data and unstructured sentiment data from news articles and user comments. The study evaluates various predictive algorithms, finding that the Transformer model offers the highest accuracy, significantly improving forecasting precision by accounting for external public sentiment. The findings emphasize the importance of incorporating diverse data sources for sustainable museum management

Author

Khriztian Arias Pérez

Language

EN