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Data Mining for Tourism Sales Prediction by ssunny854008 is a document available to read on EtoBox.

What is Data Mining for Tourism Sales Prediction about?

The document presents a framework for sales prediction in the tourism industry using data mining techniques, specifically focusing on aspect-based sentiment classification. It highlights the challenges of interpreting user feedback and proposes a machine learning approach to classify sentiments and identify tourist preferences. The framework aims to assist travelers in selecting optimal locations, hotels, and restaurants based on analyzed data from platforms like Yelp and Foursquare.

Author

ssunny854008

Language

EN