• 한국정보전자통신기술학회논문지
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• 제14권3호
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• pp.193-200
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• 2021

최근 소셜미디어에서 관광지에 관한 게시글과 의견이 활발하게 공유된다. 이러한 소셜 빅데이터는 소비자가 인식하는 관광지의 객관적인 이미지를 파악할 수 있는 유의미한 정보를 제공한다. 이에 따라 본 연구는 소셜미디어의 빅데이터를 이용해서 강원도 지역에 대한 관광 이미지를 분석하는 것이다. SNS 및 빅데이터의 대표적인 분석 방법인 텍스트마이닝과 의미연결망 분석 절차를 사용해서 강원도의 관광 이미지를 분석하고 차별화된 경쟁력을 확보할 수 있는 이미지 향상에 대한 방안을 제공하고자 하였다. 분석결과에 따르면, 강원도 지역의 관광으로 속초, 강릉, 양양 순으로 지명 언급이 높은 수준으로 나타났고, 여행목적은 맛집투어, 식도락, 가족여행, 휴가, 체험 등으로 나타났다. 특히, 당일여행, 주말, 체험 등을 선호하는 것으로 나타났다. 분석결과를 바탕으로 네 가지 제안을 하였다. 첫째, 강원도 관광의 활성화를 위하여 가격대별로 다양한 호텔, 숙박 시설과 체험 관광 마케팅이 필요하다. 둘째, 강원도의 자연경관과 수도권 근접성을 활용한 당일상품을 개발할 필요가 있다. 셋째, 강원도 향토음식과 전통식당의 홍보가 필요하다. 마지막으로 힐링과 가족여행에 적합한 관광 마케팅 개발이 필요하다. 본 연구 결과를 통해 강원도의 관광 이미지를 현황을 파악하고 경쟁력을 향상할 수 있는 마케팅 전략을 제시하였다. 또한, 관광 소비자의 빅데이터를 관광사업 분야에서 활용할 수 있는 이론적 근거를 제공하였다.

• 한국조리학회지
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• 제23권8호
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• pp.195-205
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• 2017

The purpose of this study was to compare the Starbucks in South Korea with Starbucks in U.S.A through the semantic network analysis of big data by collecting online data with SCTM(Smart Crawling & Text Mining) program which was developed by big data research institute at Kyungsung University, a data collecting and processing program. The data collection period was from January 1st 2014 to December 7th 2017, and packaged Netdraw along with UCINET 6.0 were utilized for data analysis and visualization. After performing CONCOR(convergence of iterated correlation) analysis and centrality analysis, this study illustrated the current characteristics of Starbucks for Korea and U.S.A reflected by the social network and the differences between Korea and U.S.A. Since the Starbucks was greatly developed, especially in Korea. this study also was supposed to provide significant and social-network oriented suggestions for Starbucks USA, Starbucks Korea and also the whole coffee industry. Also this study revealed that big data analytics can generate new insights into variables that have been extensively studied in existing hospitality literature. In addition, implications for theory and practice as well as directions for future research are discussed.

• 한국조리학회지
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• 제24권3호
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• pp.167-176
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• 2018

In this study, Big Data was used to collect the information related to 'Cooking Academy' keywords. After collecting all the data, we calculated the frequency through the text mining and selected the main words for future data analysis. Data collection was conducted from Google Web and News during the period from January 1, 2013 to December 31, 2017. The selected 64 words were analyzed by using UCINET 6.0 program, and the analysis results were visualized with NetDraw in order to present the relationship of main words. As a result, it was found that the most important goal for the students from cooking school is to work as a cook, likewise to have practical classes. In addition, we obtained the result that SNS marketing system that the social sites, such as Facebook, Twitter, and Instagram are actively utilized as a marketing strategy of the institute. Therefore, the results can be helpful in searching for the method of utilizing big data and can bring brand-new ideas for the follow-up studies. In practical terms, it will be remarkable material about the future marketing directions and various programs that are improved by the detailed curriculums through semantic network of cooking school by using big data.

• 농촌계획
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• 제30권2호
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• pp.13-24
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• 2024

This study conducts an analysis of social media big data pertaining to island tourism resources, aiming to discern the diverse forms and categories of island tourism favored by consumers, ascertain predominant resources, and facilitate objective decision-making grounded in scientific methodologies. To achieve this objective, an examination of blog posts published on Naver from 2022 to 2023 was undertaken, utilizing keywords such as 'Island tourism', 'Island travel', and 'Island backpacking' as focal points for analysis. Text mining techniques were applied to sift through the data. Among the resources identified, the port emerged as a significant asset, serving as a pivotal conduit linking the island and mainland and holding substantial importance as a focal point and resource for tourist access to the island. Furthermore, an analysis of the disparity between existing island tourism resources and those acknowledged by tourists who actively engage with and appreciate island destinations led to the identification of 186 newly emerging resources. These nascent resources predominantly clustered within five regions: Incheon Metropolitan City, Tongyeong/Geoje City, Jeju Island, Ulleung-gun, and Shinan-gun. A scrutiny of these resources, categorized according to the tourism resource classification system, revealed a notable presence of new resources, chiefly in the domains of 'rural landscape', 'tourist resort/training facility', 'transportation facility', and 'natural resource'. Notably, many of these emerging resources were previously overlooked in official management targets or resource inventories pertaining to existing island tourism resources. Noteworthy examples include ports, beaches, and mountains, which, despite constituting a substantial proportion of the newly identified tourist resources, were not accorded prominence in spatial information datasets. This study holds significance in its ability to unearth novel tourism resources recognized by island tourism consumers through a gap analysis approach that juxtaposes the existing status of island tourism resource data with techniques utilizing social media big data. Furthermore, the methodology delineated in this research offers a valuable framework for domestic local governments to gauge local tourism demand and embark on initiatives for tourism development or regional revitalization.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.310-316
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• 2022

The smart tourism service provides services such as travel planning and tour guides to tourists using key technologies of the 4th industrial revolution, such as the Internet of Things, communication infrastructure, big data, artificial intelligence, AR/VR, and drones. We are developing smart tourism services such as recommended travel products, my travel itinerary, tourism information, and chatbots for tourists through the smart tourism app. In this paper, we develop a smart tourism service system that provides real-time location-based tourism information and weather information to tourists. The smart tourism service system consists of a smart tourism app, a smart tourism information system, and an IoT data collection device. The smart tourism information system receives weather information from the IoT data collection device installed in the tourist destination. The location-based smart tourism service is provided as a smart tourism app in the smart tourism information system according to the Beacon's UUID in the IoT data collection device. The smart tourism information system stores the Beacon's UUIDs received from tourists and provides a safe hiking service for tourists.

• 산업융합연구
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• 제18권6호
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• pp.19-25
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• 2020

빅데이터 분석은 오늘날 다양한 산업 및 공공분야에서 필수적으로 활용되고 있다. 이에 본 연구에서는 빅데이터 분석을 활용하여 국내 관광 서비스 개선 방안을 LDA분석 방법을 통해 모색하고자 한다. 특히 외국인 방문객이 가장 많은 서울을 중심으로 관광객의 만족도를 높이고 이를 통해 재방문을 향상시킬 수 있고 서비스를 개선할 수 있는 탐색적 접근을 시도하였다. 본 연구에서는 서울시와 한국관광공사의 통계 자료 및 SNS 등의 인터넷 정보들을 R을 통해 수집 및 분석을 진행하였다. 그리고 LDA를 포함한 텍스트 마이닝 기법을 활용하였다. 분석 결과 외국인들의 한국을 방문하는 목적 중 하나는 식도락 관광이었다. 이에 식도락 관광을 중심으로 서비스의 질을 높이기 위한 방안을 도출하고자 한다.

• 한국융합학회논문지
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• 제12권8호
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• pp.13-21
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• 2021

본 연구는 지리정보시스템과 빅데이터 분석 시스템을 활용하여 관광객 유입동향 및 소비패턴 분석에 목적을 둔 연구이다. 인천광역시 주요 관광지 중 송도센트럴파크와 차이나타운을 선정하여 2017년 6월 1개월 동안 유동인구 분석, 카드매출 분석을 진행하였다. 전국 광역시도로부터 송도센트럴파크에 방문한 관광객은 인천광역시, 경기도, 서울특별시 순으로 높게 나타났으며, 외국인 관광객 비중은 중국이 가장 높았다. 차이나타운 관광객의 카드 소비 이용건수는 남성이 여성보다 12.4% 높게 나타났고 카드소비 금액도 남성이 18% 높게 나타났다. 본 연구는 관광객들의 유입동향 및 소비패턴을 분석하여 관광정책 수립의 주요 쟁점들을 도출함으로써 관광정책의 전략적 방안을 제안하는데 시사점이 있다. 본 연구를 바탕으로 향후 관광 인프라 구축 개선에 도움이 될 수 있다고 기대된다.

• 한국조리학회지
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• 제24권2호
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• pp.34-43
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• 2018

The objective of this study was to acquire a general and text-based awareness and recognition of cruise food hygiene through big data analytics. For the purpose, this study collected data with conducting the keyword "food hygiene, cruise" on the web pages and news on Google, during October 1st, 2015 to October 1st, 2017 (two years). The data collection was processed by SCTM which is a data collecting and processing program and eventually, 899 kb, approximately 20,000 words were collected. For the data analysis, UCINET 6.0 packaged with visualization tool-Netdraw was utilized. As a result of the data analysis, the words such as jobs, news, showed the high frequency while the results of centrality (Freeman's degree centrality and Eigenvector centrality) and proximity indicated the distinct rank with the frequency. Meanwhile, as for the result of CONCOR analysis, 4 segmentations were created as "food hygiene group", "person group", "location related group" and "brand group". The diagnosis of this study for the food hygiene in cruise industry through big data is expected to provide instrumental implications both for academia research and empirical application.

• 한국전자통신학회논문지
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• 제12권4호
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• pp.637-644
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• 2017

제안한 논문은 기 체험 여행자가 SNS를 통하여 남긴 정보를 바탕으로, 첫째, 제안한 지능형 투어리즘을 통하여 SNS로부터 다양한 여행자 정보를 수집하며, 둘째, 체험예정자에게 맞는 스케줄 정보를 제공함으로써 기 체험자의 정보를 기준으로 수정 또는 적용할 수 있게 하고. 셋째, 위와 같은 서비스를 바탕으로 체험예정자가 직접 투어리즘 스케줄링을 등록 및 수정할 수 있는 가상 투어리즘 설계를 목적으로 한다. 따라서, 본 논문을 통하여 기체험자와 체험예정자간의 매칭 과정을 통하여 신뢰가 기반된 투어리즘 서비스를 제공함으로써 투어의 만족도를 최대화할 수 있는 효과를 얻게 한다.

• 디지털산업정보학회논문지
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• 제19권3호
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• pp.165-175
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• 2023

Boryeong Mud Festival has become a representative local festival that both domestic and foreign tourists can enjoy together. In addition, it is one of the usual hands-on marine festivals in Korea that can be enjoyed with one mind at the Boryeong Mud Festival, regardless of race, age, and language. This study explored the overall perception and trends of the Boryeong Mud Festival using big data extracted online from the Boryeong Mud Festival. First, keywords such as Chungnam, hosting, summer, reporter, experience, opening ceremony, performance, operation, news, tourist, opening, event, and festival were frequently exposed online. Second, due to centrality analysis, the centrality of festival experience programs and performances, opening ceremonies, and Boryeong mayor was high. Third, due to the CONCOR analysis, five clusters of meaningful keywords related to the Boryeong Mud Festival were formed.