Revolutionizing Tourism with Automated Event Classification: A Data Science Approach
📆 A new automatic classification process for tourist events utilizes CRISP-DM, supervised machine learning, and NLP. Over 1,100 event sources from 30+ countries, 700,000 events, and 23 languages contributed to train a model categorizing events into a hierarchical taxonomy. This innovation aids travelers in finding events aligned with their interests and enhances trip planning across multiple regions and languages. It also provides insights for DMOs, event planners, and tourism marketers to tailor events, promotions, and collaborations among tourism stakeholders.
Share
