Answers are grounded in this paper and cite their sources.
Data-driven analysis assesses similarities among tourist attractions through user-contributed reviews, suggesting insights for thematic travel.
The motivation for tourists to visit a city is often driven by the uniqueness of the attractions accessible within the region. The draw to these locations varies by visitor as some travellers are interested in a single specific attraction while others prefer thematic travel. Tourists today have access to detailed experiences of other visitors to these locations in the form of user-contributed text reviews, opinions, photographs, and videos, all contributed through online tourism platforms. The data available through these platforms offer a unique opportunity to examine the similarities and difference between these attractions, their cities, and the visitors that contribute the reviews. In this work, we take a data-driven approach to assessing similarity through textual analysis of user-contributed reviews, uncovering nuanced differences and similarities in the ways that reviewers write about attractions and cities.
No takes yet. Share an insight, caveat, or question.
McKenzie et al. (2018) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: