Work

Research on the Evaluation of Island Tourism Experience Based on LDA Model and Text Mining: Taking 1300 Tourist Reviews as an Example

Year: 2025

Type: article

Abstract: In this paper, 1300 tourist reviews from Ctrip.com are selected with the help of Python, and then text mining-related techniques are used to analyze the island tourism experience. The analysis shows that natural scenery, cultural experience, seafood quality, and accommodation cost-effective harvest more praise, while transport services, catering price transparency, and service quality need to be further improved. Based on the above, a series of suggestions on traffic, catering, accommodation, and cultural resources are proposed to support the optimization of scenic spots at the data level.

Source: Lecture Notes in Education Arts Management and Social Science

DOI: 10.18063/lne.v3i2.754

Author: Weiming Yang

Institution: Belarusian State University

Language: English

Topic: Diverse Aspects of Tourism Research

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W4411446049

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