Journal Screenshot

International Journal of Academic Research in Economics and Management Sciences

Open Access Journal

ISSN: 2226-3624

Web Text Analysis of Image Perception of Tourist Destinations

Shun Lei Tang, Norazirah Ayob, Chin Hong Puah, Yang Gi Kim

http://dx.doi.org/10.6007/IJAREMS/v13-i1/20692

Open access

This study aims to analyze tourist perceptions of Jinan, China, as a travel destination using text analysis to create tourism products that attract visitors. In the context of the evolving social economy, tourism image plays a crucial role in market competitiveness. Leveraging the internet era, this research collects and analyzes tourist evaluation data from online platforms. Focused on Jinan City, the study employs a "cognitive-emotional" model to analyze online text, exploring tourists' cognitive, emotional, and overall perceptions of Jinan's tourism image. Findings reveal that Daming Lake and Baotu are key cognitive images, with tourists expressing high satisfaction with tourism resources, environment, and activities, reflecting positive emotions overall. The study identifies Jinan's overall image perception as "Spring City," characterized by positive sentiments. By clarifying the gap between tourists' perceptions and Jinan's tourism image positioning as "spring water + culture," the study offers strategies to enhance Jinan's tourism image and contribute to sustainable tourism development.

Al-Gasawneh, J. A., & Al-Adamat, A. M. (2020). The relationship between perceived destination image, social media interaction and travel intentions relating to Neom city. Academy of Strategic Management Journal, 19(2), 1-12.
Azeez, Z. A. (2021). The Impact of Destination Image on Tourist Behavior: Karbala as a Case Study. International Journal of Sustainable Development & Planning, 16(7).
Chen, X., Li, J., Han, W., & Liu, S. (2021). Urban tourism destination image perception based on LDA integrating social network and emotion analysis: the example of Wuhan. Sustainability, 14(1), 12.
Cho, N., Kang, Y., Yoon, J., Park, S., & Kim, J. (2022). Classifying tourists’ photos and exploring tourism destination image using a deep learning model. Journal of Quality Assurance in Hospitality & Tourism, 23(6), 1480-1508.
Chu, Q., Bao, G., & Sun, J. (2022). Progress and prospects of destination image research in the last decade. Sustainability, 14(17), 10716.
Chu, Q., Bao, G., & Sun, J. (2022). Progress and prospects of destination image research in the last decade. Sustainability, 14(17), 10716.
Danmei, Z. (2019). Research on online commentary characteristics of Xitang homestay based on network text analysis. Frontiers in Management Research, 3(4), 157-164.
Gholamhosseinzadeh, M. S., Chapuis, J. M., & Lehu, J. M. (2023). Tourism netnography: How travel bloggers influence destination image. Tourism Recreation Research, 48(2), 188-204.
Guo, X., & Sun, Z. (2016). A novel evaluation approach for tourist choice of destination based on grey relation analysis. Scientific Programming, 2016.
Hallmann, K., Zehrer, A., & Müller, S. (2015). Perceived destination image: An image model for a winter sports destination and its effect on intention to revisit. Journal of travel research, 54(1), 94-106.
Kozan, H. ?. Ö., Baloglu, M., & Kesici, ?. (2019). The Associaton between Cognitive-Emotion Regulation and Emotion Management. Sakarya University Journal of Education, 9(3), 495-505.
Li, R., Wang, H., & Zhang, H. (2021). Chinese Tourists’ Perception of the Tourism Image of North Korea Based on Text Data from Tourism Websites. Sustainability, 13(21), 12205.
Maghrifani, D., Liu, F., & Sneddon, J. (2022). Understanding potential and repeat visitors’ travel intentions: the roles of travel motivations, destination image, and visitor image congruity. Journal of Travel Research, 61(5), 1121-1137.
Markovi?, I., Radosavljevi?, G., & Borisavljevi?, K. (2022). Celebrity Endorsement Influence on Destination Image. Naše gospodarstvo/Our economy, 68(4), 66-74.
Martín-Santana, J. D., Beerli-Palacio, A., & Nazzareno, P. A. (2017). Antecedents and consequences of destination image gap. Annals of tourism research, 62, 13-25.
Moon, H., & Han, H. (2019). Tourist experience quality and loyalty to an island destination: The moderating impact of destination image. Journal of Travel & Tourism Marketing, 36(1), 43-59.
Pavesi, A., Denizci Guillet, B., Smith, R. P., & Law, R. (2022). The role of social interaction during visitation on social destination image formation. Asia Pacific Journal of Tourism Research, 27(1), 48-68.
Saltos, A. E., Flores-Ruiz, D., & de la O Barroso González, M. (2021). Applying Social Networks in the Management of Sustainable Tourist Destinations: An Analysis of Spanish Tourist Destinations. Land (2012), 10(11).
Shin, M. M., Jung, S., & Rha, J. S. (2021). Study on business ecosystem research trend using network text analysis. Sustainability, 13(19), 10727
Soonsan, N., & Somkai, U. (2022). Linking perceived destination image and revisiting intention: A cross-cultural study of Chinese and Australian tourists. Journal of China Tourism Research, 18(4), 689-709.
Tavitiyaman, P., Qu, H., Tsang, W. S. L., & Lam, C. W. R. (2021). The influence of smart tourism applications on perceived destination image and behavioral intention: The moderating role of information search behavior. Journal of Hospitality and Tourism Management, 46, 476-487.
Trang, N. T., Yoo, J. J. E., Joo, D., & Lee, G. (2023). Incorporating senses into destination image. Journal of Destination Marketing & Management, 27, 100760.
Wang, A., Wu, J., & Wang, J. (2018). Influence of nonspecific destination vacation experience on tourism destination image. Tourism Tribune, 33(7), 79-90.
Wang, D., Hu, S., Feng, L., & Lu, Y. (2022). Tourism destination image perception model based on clustering and PCA from the perspective of new media and wireless communication network: a case study of Leshan. Wireless Communications and Mobile Computing, 2022.
Weru, J. N., & Njoroge, J. M. (2021). Investigating the influence of business events experience on international visitors’ perceived destination image: The case of Kenya. In Journal of Convention & Event Tourism (Vol. 22, No. 5, pp. 384-406). Routledge.
Zhong, J., & Li, S. (2022). Research on Tourism Image Perception of Naozhou Island in Zhanjiang Based on Network Text Analysis. In 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) (pp. 169-180). Atlantis Press.

(Tang et al., 2024)
Tang, S.-L., Ayob, N., Puah, C.-H., & Kim, Y.-G. (2024). Web Text Analysis of Image Perception of Tourist Destinations. International Journal of Academic Research in Economics and Management and Sciences, 13(1), 194–211.