• Journal of Information Processing Systems
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• v.18 no.2
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• pp.292-292
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• 2022

• International Area Studies Review
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• v.22 no.4
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• pp.189-208
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• 2018

This study validates if this relationship results in differences of significance levels between first time and repeat visitors and analyzes if there exist any differences in the spatial characteristics of tourist attractions using Social Network Analysis(SNA) for the spacial attributes of movement network Focusing on Hwaseong city, South Korea. It is important for balanced development between tour sites in Hwaseong by enhancing the value of tourism resources and applying the concept of hub-and-spoke tourism development. Based on the analyzing the centrality of tourist movement networks, degree centrality, closeness centrality, and betweenness centrality all did not show much variation for 20 tourist attractions versus the top five. That is, the attractions that both first time and repeat visitors visit are concentrated in well-known, famous places. The authors hope that this study, which defines practical interactions among attractions based movement, will be used as practical data for developing tourist retention marketing strategies.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.5 s.118
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• pp.24-31
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• 2006

The tourism sites and attractions of South Korea in many ways have little specialties in their image due to the local development plan's uniformed way of designing and improving landscape. The lack of specialties in tourist sites and attractions have caused displeasure from the local residents, as the sites don't characterize the locals as attractively and appealingly as is the potential. There have been no research or studies on the scenic effect on tourism or resort development thus producing an urgent call for local authorities to develop planned landscapes of local sites. This study compares Bugok Onchon (hot spring), whose image hardly differentiates itself from the others, with Kinosaki Onsen (hot spring). Bugok Hot Spring, which is the case study of this report, has recorded a steady decline of visitors due to a result of uniformed development planning. In the case of Kinosaki Hot Spring, scenery development, however, has made a breakthrough in tourist increase despite its no-so-easily-accessible location. The study assumes that scenery effects changes in promoting local tourism, thus analyzing and comparing the two hot springs to unearth critical factors in tourist site development, as well as viewing the present state of Bugok Hot Spring for further study. Furthermore, the study provides tourist site developers with a guideline of the two comparative Hot Spring cases. Investigations and analyses are mainly focused on colors, which are important factors in making underlying images of tourist sites, and the comparison of Bugok Hot Spring with Kinosaki Hot Suing. Bugok Hot Spring shows the influences of accent colors as well as a variety of color combinations and similarities of color tones. Kinosaki Hot Spring shows a combination of naturally-generated colors its own scenic beauty by trimming the landscape. Through the comparative study of the two hot springs, Bugok (boulevard) uncovers a typical case of Korean local landscape planning, even with the well-known tourist attraction 'Bugok-Hawaii', and calls upon a new, serious landscape-improvement plan to increase visitors.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.238-242
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• 2021

Through diversification of 4th industries and transportation and globalization, tourism was developed for medical purposes, not limited to touring tourist attractions. The trend of medical tourism in Korea is shifting from large and medium-sized hospitals to professional medical services in one area of small hospitals rather than professional medical services. However, small hospitals lack medical coordinators and interpretation services, and tourists who visit Korea for treatment lack information on small hospitals. Therefore, a platform is needed to match small hospitals with medical tourists. In this study, using Platform as a Service (Paas) in cloud computing, clinic administrators can access the app to introduce information about their hospitals with simple manipulations. Tourists also want to propose a customized platform to select the right area for them to check information about small-scale hospitals and choose the treatment and tourist attractions they wants. In this study, using Platform as a Service (Paas) in cloud computing, clinic administrators can access the app to introduce information about their hospitals with simple manipulations.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.190-198
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• 2023

Sentiment analysis can be applied to all texts generated from websites, blogs, messengers, etc. The study fulfills an artificial intelligence sentiment analysis estimating visiting evaluation opinions (reviews) and visitor ratings, and suggests a deep learning model which foretells either an affirmative or a negative inclination for new reviews. This study operates review big data about Jeju tourist attractions which are extracted from Google from October 1st, 2021 to November 30th, 2021. The normalization data used in the propensity prediction modeling of this study were divided into training data and test data at a 7.5:2.5 ratio, and the CNN classification neural network was used for learning. The predictive model of the research indicates an accuracy of approximately 84.72%, which shows that it can upgrade performance in the future as evaluating its error rate and learning precision.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.45-51
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• 2009

Different countries around the world, using their traditional culture as a background, are promoting new changes and reformation in development and publicity method of cultural contents to promote national interests and to increase their competitiveness. Also, as the citizen's standard of living and quality of living goes up, various demands for the enjoyment of traditional culture goes up accordingly as well. As the cultural assets environment become more complicated and diverse, there is a need for systematic management and preservation plan. Keeping these viewpoints in mind, the geo-spatial information provision service using the web provides various forms of services such as satellite imagery, terrain, and 3D viewing, enabling the user to gain concrete spatial information on specific areas. The geo-spatial information using 3D modeling is done only in limited spaces because of construction expenses or difficulties in management and maintenance. In this thesis, I would like to propose Effective method for the GoogleEarth Uploading through simplification of 3D object for the publicity of traditional buildings and Cultural Resources and Tourist Attractions.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.409-418
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• 2015

With the development of mobile devices and Internet, information exchange has actively been made through SNS and Blogs. Blogs are widely used as a space where people share their experience after their visit to tourist attractions. We propose a method of recommending associated tourist attractions based on tourists' opinions using issue analysis, association analysis, and sentimental analysis for various online reviews including news in order to help to develop tour products and policies. The result shows that north area of Chungbuk province has been selected as issue attractions, and associated attractions/keywards have been identified for given well-known attraction. Positive/negative opinion for review texts has been analyzed and user can grasp the reason for the sentiments. Multidimensional analysis technique has been integrated to derive additional sophisticated insights and various policy proposal for smart tourism.

• The Journal of Information Systems
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• v.27 no.3
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• pp.203-225
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• 2018

Purpose This study investigated the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. Design/methodology/approach This study investigates the impact of review language style (affective vs. cognitive) on review helpfulness and the moderating effects of the types of attractions in the relationships between the review language and its helpfulness. This study selected two hedonic and utilitarian attractions (Hedonic: Brandenburg Gate, Utilitarian: Peragamon Museum) located in Berlin. A total of 3,320 reviews was collected from TripAdvisor. We divided online reviews posted for these places into reviews with more affective language and with more cognitive language by using the LIWC. Then, we investigated the impact of language effect on review helpfulness across the attraction type. Findings The findings suggest that peers tend to judge more helpful toward cognitive language in attraction reviews regardless of attraction type. This study found that peers tend to perceive more helpful toward cognitive review in utilitarian attractions. Even though there was an interaction effect between review language and attraction type, in hedonic attractions, the influence of cognitive language was reduced, but still cognitive reviews would get more helpful votes.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.283-290
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• 2023

This study investigates the influential factors on online word-of-mouth (eWOM) intentions towards educational tourist destinations, primarily focusing on Korean universities and Chinese tourists. It reveals a positive correlation between eWOM intentions and the desire to enroll in these institutions. The significance of eWOM for attracting Chinese students elucidates the importance of establishing a strong brand image and ensuring high levels of tourist satisfaction. Moreover, social media users who travel for education purposes were found to emphasize self-image consistency and conspicuous self-expression. This research underscores the utility of leveraging social media to enhance the perception of educational tourist attractions, promoting these destinations, and stimulating eWOM, thereby enriching the understanding of the strategic use of social media in international student recruitment.

• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.147-157
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• 2017

The tourism experience factor is an essential source of competitive advantage in the tourism industry and is an important factor for predicting future tourism behavior. Tourism experience elements can be composed of areas of education, entertainment, aesthetics and deviance (Pine and Gilmore, 1998). This study examines the effect of tourist experience factors on tourist loyalty and it is meaningful to see if the experiential economic theory of Pine and Gilmore (1999) is applicable. In order to achieve the purpose of this study, we conducted a questionnaire survey on tourists using experiential tourism factors. As a result, it was found that recreational experiential factors had a significant effect on memory. Memory has a significant effect on both visitor satisfaction and tourist loyalty. This study has academic significance because it focuses on the tourism experience factor which is the core of experiential economic theory. Practical significance is that a lot of experiential contents should be found in order to better match the tourist experience factor to the requirements of visitors to the tourist site. As a result, it is expected to generate revenue and improve its competitiveness.