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Sentiment-Based Tourism & Restaurant Recommendations by 213j1a05f1 is a document available to read on EtoBox.

What is Sentiment-Based Tourism & Restaurant Recommendations about?

This project presents a Tourism and Restaurant Recommendation System that utilizes sentiment analysis of customer reviews to provide personalized suggestions. By combining VADER and RoBERTa machine learning models, the system enhances accuracy in sentiment classification and offers tailored recommendations based on user preferences. The approach aims to improve user experience and deliver valuable insights for businesses in the tourism and dining sectors.

Author

213j1a05f1

Language

EN