• Title/Summary/Keyword: 관광 뉴스

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A Study on the Analysis of News Data for the Improvement of Local Flower Festival (지역 꽃 축제 개선사항 도출을 위한 뉴스 데이터 분석 연구)

  • Lee, Jeongwon;Lee, Choong Ho
    • Journal of Industrial Convergence
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    • v.17 no.4
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    • pp.33-38
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    • 2019
  • Regional tourism is an effective means of revitalizing the local economy and improving the image of the region. In order to revitalize this, efforts should be made to create regionally specialized tourism products and to preserve the unique culture and traditions. Among them, gathering information about visitors and securing the quality competitiveness of the contents of tourism contents are very important to increase the potential of cultural tourism festival. This paper collects, refines, and processes the festival-related data in a specific area in order to enhance the visitor's tourism needs and satisfaction. In particular, negative words and positive words raised during the festival were analyzed through big data visualization using word cloud.

Analysis of Review Data of 'Tamna' Franchisees to Promote Sustainable Travel in Jeju City (제주시의 지속가능한 여행 활성화를 위한 지역화폐 '탐나는전' 가맹점의 리뷰 데이터 분석)

  • Sehui Baek;Sehyoung Kim;Miran Bae;Juyoung Kang
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.113-128
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    • 2022
  • After COVID-19, interest in "sustainable tourism" increased, and the number of tourists who wanted to experience "sustainable tourism" also increased. However, there is a problem that the programs and methods for 'sustainable tourism' are not specific and diverse. In addition, since most of the interests of "sustainable tourism" focus on "environment" and "carbon neutrality," there are not many programs or government policies that can contribute to the community. Therefore, in this study, news data and review data were analyzed to suggest a method for promoting 'sustainable tourism'. First, in this study, major themes of sustainable travel were derived through news big data analysis. Through this analysis, policy themes and events of 'sustainable tourism' were derived. By analyzing news big data related to "sustainable tourism," we would like to analyze the reasons why sustainable travel has not been activated in Korea. Finally, in order to promote sustainable travel in Jeju island, we analyzed user review data of Jeju local currency, and propose a idea to coexist with the local community.

Importance Analysis on the Trytoursumer Social Media Channel (체험관광객(트라이투어슈머:Trytoursumer)의 관광 소셜미디어 채널 중요도 분석 연구)

  • Kim, Young-Ha
    • Journal of Digital Convergence
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    • v.14 no.4
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    • pp.193-200
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    • 2016
  • This study is focused on analyzing the tourism social media channel importance of Trytoursumer. On the basis of previous studies, the factors were divided into tourism communication, tourism cooperation, tourism contents sharing, tourism entertainment. As a result of the empirical analysis using AHP, Analytic Hierarchy Process, tourism communication relatively appeared as the most important factor. And order showed that the high importance of such tourism content sharing, tourism entertainment, tourism cooperation. Also, there was the highest priority of social networking in the area of tourism communication among 14 types of total evaluation factors regarding priority, followed by social news in the area of tourism cooperation, and micro-blog in the area of tourism communication. Analysis result, may contribute to the increase of social media channels effectiveness and strategy of application in social media channel of Trytoursumer.

Identifying Regional Tourism Resources Using Webometric Network Analysis: A case of Suseong-gu in Daegu, South Korea (웹보메트릭스를 활용한 지역관광자원 발굴 및 네트워크 분석: 대구 수성구를 중심으로)

  • Song, Hwa Young;Zhu, Yu Peng;Kim, Ji Eun;Oh, Jung Hyun;Park, Han Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.475-486
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    • 2020
  • The purpose of present study is to identify the regional tourism resources using Webometric network analysis. The study focuses on Suseong area in Daegu metropolitan city. Various kinds of web-based data, for example, hit counts, online news, and public comments, were used to discover hot places and people's responses. The research question is, 'First, what is the optimum level of the search engine for suseong? Second, what is the online appearance of tourist resources in suseong? Which region is the center of tourism with high levels of emergence? Third, what are the main contents of news articles and comments related to the Suseong pond?'. The results show that the search engine optimization level in Suseong is lower than that in other areas in Daegu. In other words, tourism information and contents regarding Suseong are not highly visible on cyber space. Importantly, Suseong pond had the highest online presence. A close analysis of both online news and users' comments on Suseong pond, however, revealed the biggest concern as calling for improving public accessibility to tourism infrastructure. The findings are expected to contribute to policy development and service operation related to tourism resources in Suseong.

Implementation of smart chungbuk tourism based on SNS data analysis (SNS 데이터 분석을 통한 스마트 충북관광 구축)

  • Cho, Wan-Sup;Cho, Ah;Kwon, Kaaen;Yoo, Kwan-Hee
    • 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.

Examining News Report Research Trends Using Keyword Network Analyses (국내 뉴스 보도 연구 동향에 관한 주제어 연결망 분석)

  • Cho, Yiyoung;Ahn, Dohyun
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.278-291
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    • 2016
  • This study examined research trends via network analyses of keywords appeared in academic research articles about news reports in South Korea during the last 10 years from 2006 to 2015. Keyword network analyses of 4410 keywords from 1108 articles suggested that framing, agenda setting, third-person effect, selective exposure, and uses and gratification were main theories but most studies used framing theory. Research areas included news reports on politics, economics, science, world issues, or tour. However, research on news reports covering culture, sports or daily life were not identified. In terms of media, research on both traditional and emerging media were ample. Research on broadcasting new, online news, and social media were frequently observed.

A study on Korean tourism trends using social big data -Focusing on sentiment analysis- (소셜 빅데이터를 활용한 한국관광 트렌드에 관한연구 -감성분석을 중심으로-)

  • Youn-hee Choi;Kyoung-mi Yoo
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.97-109
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    • 2024
  • In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.

Content Analysis of Newspapers' Travel News (신문의 관광보도 내용분석)

  • Park, Jowon
    • The Journal of the Korea Contents Association
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    • v.14 no.11
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    • pp.68-78
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    • 2014
  • Recently, media's attention to tourism is enhanced, and the proportion of tourism related content is increasing. Hence, the present study performed a content analysis of the travel news stories in major Korean newspapers to figure out the current state of travel journalism. A rotation sampling method was employed, and 53 days in 2013 were selected. Main coding categories were type, theme, and writer of the news stories and the degree of promotional information in the news stories. Differences among newspapers and the degree of inclusion of the promotional information according to news types and themes were analyzed. Analyses revealed the differences among newspapers and the degree of inclusion of promotional information was different according to the news types and themes. On the basis of the findings, problems of the travel journalism were identified, and possible measures to solve the problems were discussed.

An Analysis of Fishing Village Tourism Issues Reported in Korea Media (국내 언론에 보도된 어촌관광 이슈의 변동 분석)

  • Ji-Yeong Ko;Chae-wan Lee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.4
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    • pp.299-307
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    • 2024
  • Fishing villages, which are the focus of this study, are interested in fishing tourism for creating a new income base and sustaining fishing communities. This is because the extraordinary nature of the fishing village space creates new values in line with the function of tourism, however, the related policies are less than adequate compared to the importance of fishing village tourism. Therefore, this study aims to analyze the interest of Korean society in fishing village tourism the manner in which this issue has changed over time. Using the news analysis system, BigKinds, we systematically collected and analyzed articles related to fishing village tourism reported in the domestic media. The results showed that social interest in fishing village tourism and government policy support had increased over time, suggesting that fishing village tourism was an important strategy that could revitalize local economies and prevent the disappearance of fishing villages.

뉴스 송신탑

  • Insam NET
    • 인삼약초
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    • v.3 no.6 s.10
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    • pp.82-85
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    • 2005
  • '인삼 할아버지' 군민의장 수상/ 금산 인삼약초시장에 체험형 프로그램/ 파주개성인삼 '원년' 선포한다/ 증평 인삼축제 14일 개막/ 최홍만, 산삼 먹고 본야스키와 결전 준비/ 대전기상청, 금산인삼용 정보 제공/ 금산군, 금산인삼약령시장 상징물 선정/ 풍기인삼축제 관광열차 운행/ 인삼에 백내장 예방 물질 서울대 안과 이진학 교수팀 사포닌 성분 안약 개발 중/ 농진청 '생명농업 엑스포' 개최/

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