Enhancement of Harbin ice and snow tourism destination competitiveness: A large-scale data study based on sentiment analysis and Latent Dirichlet Allocation

PLoS ONE, Год журнала: 2025, Номер 20(3), С. e0319435 - e0319435

Опубликована: Март 21, 2025

In recent years, the ice and snow tourism industry has exhibited a concurrent state of vigorous expansion intense rivalry. Strengthening competitiveness is paramount significance for attaining dominant position in market. Thus, this study endeavors to dissect multi-dimensional determinants destinations from demand perspective establish an evaluation framework. Leveraging 48,420 tourist reviews sourced ten highly reputed attractions Harbin, text features were extracted via application Term Frequency - Inverse Document (TF-IDF). Subsequently, Latent Dirichlet Allocation (LDA) topic model was deployed precisely extract key themes. The sentiment inclination gauged by SnowNLP. Eventually, Importance Performance (IPA) utilized analyze strengths weaknesses competitiveness. outcomes are as follows: (1) Seven prominent themes, namely activities, environment, resources, historical cultural aspects, cost performance, service, experience, recognized potent driving forces. (2) Tourists manifested positive emotions high degree approval. (3) score Harbin destination determined be 0.64, with activities constituting advantage, whereas resources environment necessitating enhancement. This transcends constraints traditional supply-side-centered research. Innovatively, integrated into system, thereby augmenting connotations model. Based on LDA clustering results, analysis conducted, enhancing accuracy portraying tourists’ inner experiences. Concrete forward-looking strategic recommendations proffered destinations, furnishing theoretical practical guidance high-quality progression tourism.

Язык: Английский

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Insights into your advantages: Hotel competitiveness evaluation considering competitor identification

Tourism Management, Год журнала: 2025, Номер 109, С. 105152 - 105152

Опубликована: Фев. 6, 2025

Язык: Английский

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Dynamic prediction of product competitive position: A multisource data-driven competitive analysis framework from a multi-competitor perspective

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 85, С. 104289 - 104289

Опубликована: Март 21, 2025

Язык: Английский

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Where does AI play a major role in the new product development and product management process?

Management Review Quarterly, Год журнала: 2025, Номер unknown

Опубликована: Май 27, 2025

Язык: Английский

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An iterative consumer-centric and technology-driven product innovation strategy based on selective and dynamic consumer attention

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123713 - 123713

Опубликована: Авг. 30, 2024

Язык: Английский

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Evaluating the Trustworthiness of User-Generated Content on Social Media

Опубликована: Сен. 18, 2024

Язык: Английский

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