• Title/Summary/Keyword: 관광 뉴스

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Design and Implementation for Local Newsletter Using Mobile Web crawler and GPS (모바일 웹 크롤링과 GPS를 이용한 지역 뉴스레이터 설계 및 구현)

  • Jaung, Dongyou;Kim, Yongtae;Park, Geunyong;Shin, Jaesik;Park, Eunju;Lim, Hankyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.152-155
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    • 2017
  • 본 논문은 지역에 관심이 많은 사용자들이 실시간으로 모바일 웹페이지 형태의 뉴스를 제공 받을 수 있는 시스템을 설계하고 이를 제작하였다. 사용자는 실시간으로 본인이 위치한 지역을 대상으로 종합되어지는 뉴스를 모바일 웹페이지 형태의 오브젝트로 제공받는다. 본 연구를 통해 지역 관심도 향상 및 지역 개발 촉진 및 관광시설 피드백 활성화 효과의 기대가 가능하다.

A Study on Tourism Behavior in the New normal Era Using Big Data (빅데이터를 활용한 뉴노멀(New normal)시대의 관광행태 변화에 관한 연구)

  • Kyoung-mi Yoo;Jong-cheon Kang;Youn-hee Choi
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.167-181
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    • 2023
  • This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

A Study on the Comparison Analysis of Travel Agencies using Social Big Data (소셜 빅 데이터를 이용한 여행사 비교 분석에 관한 연구)

  • Song, Eun-Jee;Kong, Hyou-Soon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.771-772
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    • 2015
  • 소셜미디어 상 고객들이 쏟아내는 말을 실시간으로 분석, 조사하는 방법으로 버즈 모니터링 이라는 시스템을 이용하여 웹상의 다양한 정보를 자동으로 검색하고 수집하고 있다. 본 논문에서는 여행사에 관해 소셜 미디어 상의 빅 데이터를 이용하여 보다 정확하고 효율적인 정보 수집과 분석이 가능하도록 하기위한 분석 모델을 제안하고 실제 국내 여행사에 관해 비교 분석한다. 먼저 여행사별 인지도,이미지와 선호도 분석을 하고 관광관련 상품과 서비스에 대한 분석과 함께 소비자 분석으로서 관광의 목적, 동행인 등 소비자의 생활패턴에 대한 분석을 한다. 또한 여행사 관련 영향력자 경향을 트위터 상에서 살펴본 결과 해당 여행사 이용경험자와 관련 뉴스를 제공하는 언론, 이벤트에 관심 있는 사용자들로 유형화 할 수 있었다.

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A Suggestion and an analysis on Changes on trend of the 'Virtual Tourism' before and after the Covid 19 Crisis using Textmining Method (텍스트 마이닝을 활용한 '가상관광'의 코로나19 전후 트렌드 분석 및 방향성 제언)

  • Sung, Yun-A
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.155-161
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    • 2022
  • The outbreak of the Covid 19 increased the interest on the 'Virtual Tourism. In this research the key word related to "Virtual Tourism" was collected through the search engine and was analyzed through the data mining method such as Log-odds ratio, Frequency, and network analysis. It is clear that the information and communication dependency increased in the field of "Virtual Tourism" after Covid 19 and also the trend have changed from "securement of the contents diversity" to "project related to economic recovery." Since the demands for the "Virtual Reality" such as metaverse is increasing, there should be an economic and circular structure in which the government establishing a related policy and the funding plan based on the research, local government and the private companies planning and producing discriminate contents focusing on AISAS(Attension, Interest, Search, Action, Share) aand the research institutions and universities developing, applying, assessing and commercializing the technology.

v+Tips_비즈니스 여행 예절 - 감동을 주는 비즈니스 여행 매너

  • Jeong, Yeong-Ju
    • Venture DIGEST
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    • s.135
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    • pp.44-45
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    • 2009
  • 매년 많은 외국인이 비즈니스를 위해 한국을 방문한다. 신종 플루가 유행하는 요즘에도 힌국을 방문하는 외국인의 수가 더 증가했다는 뉴스를 보면 한국의 비즈니스가 날로 글로벌화돼가고 있는 것을 알 수 있다. 글로벌 비즈니스도 사람이 하는 일이기 때문에 인간관계에 따라 많은 일이 이루어지고 결정되기 쉽다. 따라서 우리 기업들은 힌국을 찾은 비즈니스 파트너에게 비즈니스 뿐 아니라 인간적인 관계까지 좋은 상태로 유지하고 싶어한다. 또, 손님을 대하는 한국인의 정서는 글로벌 비즈니스 파트너를 탄대하고 깊은 인상을 주고 싶어 하기 때문에 명승지나 좋은 음식 등 우리의 문화를 체험할 기회를 제공하기 마련이다. 글로벌 비즈니스 파트너와 함께 비즈니스 여행을 하거나 한국을 방문한 비즈니스 파트너와 관광을 할 때 좋은 이미지와 감동을 줄 수 있는 매너에 대해 알아두도록 하자.

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Perception of Visitors on Traditional Marketplaces becoming Tourist Attractions and Supporting Policies - Focused on Tongin Market, Seoul - (전통시장의 관광지화 및 지원정책에 대한 이용객들의 인식 - 서울 통인시장을 중심으로 -)

  • Kim, Yelim
    • Journal of the Korean Institute of Landscape Architecture
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    • v.45 no.6
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    • pp.76-89
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    • 2017
  • Tourism is being used as a tool to regenerate declining spaces. Therefore, the government is carrying out various projects to create tourist attractions to revitalize the traditional marketplace, which is declining nationwide. Because of these government-led projects, traditional marketplaces have been transformed into tourist attractions, and some markets have received enough positive feedback that they have been successfully revitalized economically. However, as marketplaces have become tourist destinations, negative views about government support projects are also increasing. This also leads to conflicts due to differences in perception and interests of stakeholders. This paper examines the process of the marketplace becoming a tourist destination focused on the Tongin Market, in Seoul which has been regenerated as a tourist attraction through a government support project. The purpose of this study is, first, to examine the background of tourist markets becoming tourist attractions and the issues surrounding them. The second was to explore in depth the types of conflict perceptions of visitors, residents and tourists, and the perception of their responses. As a research method, the process of the revitalization of traditional markets through news and existing literature, issues and the difference of perceptions about tourist-centric traditional marketplaces were examined. In addition, the Q methodology was used, which is a qualitative research methodology that can measure the difference of viewpoints and perceptions of specific events in order to analyze the difference of perception among visitors in traditional marketplaces. The results of the study show that there are three main perspectives of difference among visitors' perceptions about government support projects in traditional marketplaces and the marketplace becoming a tourist attraction. The 'policy dependent perspective' emphasizes the necessity of government regulations, a 'critical perspective' criticizes the government's traditional marketplace support policy, and the 'neutral perspective' acknowledges the need for government-led projects and accentuating the internal competitiveness of the marketplace. The study provided the environment for academic discussion about traditional marketplaces, which are becoming tourist attractions nationwide. In addition, this paper can contribute to providing implications for future government projects by analyzing the perception of marketplace visitors.

An Integrated Model for Predicting Changes in Cryptocurrency Return Based on News Sentiment Analysis and Deep Learning (감성분석을 이용한 뉴스정보와 딥러닝 기반의 암호화폐 수익률 변동 예측을 위한 통합모형)

  • Kim, Eunmi
    • Knowledge Management Research
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    • v.22 no.2
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    • pp.19-32
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    • 2021
  • Bitcoin, a representative cryptocurrency, is receiving a lot of attention around the world, and the price of Bitcoin shows high volatility. High volatility is a risk factor for investors and causes social problems caused by reckless investment. Since the price of Bitcoin responds quickly to changes in the world environment, we propose to predict the price volatility of Bitcoin by utilizing news information that provides a variety of information in real-time. In other words, positive news stimulates investor sentiment and negative news weakens investor sentiment. Therefore, in this study, sentiment information of news and deep learning were applied to predict the change in Bitcoin yield. A single predictive model of logit, artificial neural network, SVM, and LSTM was built, and an integrated model was proposed as a method to improve predictive performance. As a result of comparing the performance of the prediction model built on the historical price information and the prediction model reflecting the sentiment information of the news, it was found that the integrated model based on the sentiment information of the news was the best. This study will be able to prevent reckless investment and provide useful information to investors to make wise investments through a predictive model.

Analyzing the Effect of Online media on Overseas Travels: A Case study of Asian 5 countries (해외 출국에 영향을 미치는 온라인 미디어 효과 분석: 아시아 5개국을 중심으로)

  • Lee, Hea In;Moon, Hyun Sil;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.53-74
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    • 2018
  • Since South Korea has an economic structure that has a characteristic which market-dependent on overseas, the tourism industry is considered as a very important industry for the national economy, such as improving the country's balance of payments or providing income and employment increases. Accordingly, the necessity of more accurate forecasting on the demand in the tourism industry has been raised to promote its industry. In the related research, economic variables such as exchange rate and income have been used as variables influencing tourism demand. As information technology has been widely used, some researchers have also analyzed the effect of media on tourism demand. It has shown that the media has a considerable influence on traveler's decision making, such as choosing an outbound destination. Furthermore, with the recent availability of online information searches to obtain the latest information and two-way communication in social media, it is possible to obtain up-to-date information on travel more quickly than before. The information in online media such as blogs can naturally create the Word-of-Mouth effect by sharing useful information, which is called eWOM. Like all other service industries, the tourism industry is characterized by difficulty in evaluating its values before it is experienced directly. And furthermore, most of the travelers tend to search for more information in advance from various sources to reduce the perceived risk to the destination, so they can also be influenced by online media such as online news. In this study, we suggested that the number of online media posting, which causes the effects of Word-of-Mouth, may have an effect on the number of outbound travelers. We divided online media into public media and private media according to their characteristics and selected online news as public media and blog as private media, one of the most popular social media in tourist information. Based on the previous studies about the eWOM effects on online news and blog, we analyzed a relationship between the volume of eWOM and the outbound tourism demand through the panel model. To this end, we collected data on the number of national outbound travelers from 2007 to 2015 provided by the Korea Tourism Organization. According to statistics, the highest number of outbound tourism demand in Korea are China, Japan, Thailand, Hong Kong and the Philippines, which are selected as a dependent variable in this study. In order to measure the volume of eWOM, we collected online news and blog postings for the same period as the number of outbound travelers in Naver, which is the largest portal site in South Korea. In this study, a panel model was established to analyze the effect of online media on the demand of Korean outbound travelers and to identify that there was a significant difference in the influence of online media by each time and countries. The results of this study can be summarized as follows. First, the impact of the online news and blog eWOM on the number of outbound travelers was significant. We found that the number of online news and blog posting have an influence on the number of outbound travelers, especially the experimental result suggests that both the month that includes the departure date and the three months before the departure were found to have an effect. It is shown that online news and blog are online media that have a significant influence on outbound tourism demand. Next, we found that the increased volume of eWOM in online news has a negative effect on departure, while the increase in a blog has a positive effect. The result with the country-specific models would be the same. This paper shows that online media can be used as a new variable in tourism demand by examining the influence of the eWOM effect of the online media. Also, we found that both social media and news media have an important role in predicting and managing the Korean tourism demand and that the influence of those two media appears different depending on the country.

Korea Deer Breeding Association (한국양록)

  • Kim, Su-Geun
    • Korean Deer Journal
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    • v.10 no.3 s.63
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    • pp.1-24
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    • 2005
  • 수입녹용 정밀검사 현행유지/인사발령/'2005 범 양록인 참여 캠페인/양록자조활동자금의 이해/대전시민 사로잡은 사슴고기의 맛과 영양/사슴 전두수 이표장착, 빠르면 내년부터/사슴질병 방역교육 실시/"본회, 갈잎 알선사업 안한다"/주요 회무 일지/제 5차 이사회 실시/본회 이성복 이사, 한의학박람회 참가/사슴만성소모성질병 발생/본회, 농업인의 날 부대 행사 참가 예정/"20년 전 회보, 클릭 한번이며 OK"/'06양록인 교육계획서 제출/사진으로 보는 한국구제 축산박람회/녹용 수입절차 완화 놓고 치열한 싸움 본회 요구 사항 받아들여졌으나 안심은 금물/양평사슴연, 전국사슴인대회 개최/월동용 조사료 공급, "빨간불"/녹용, 오가피 등에서 새 성장촉진물질 추출/사슴에 받혀 농장 주인 숨져/힘 있는 양록 생산자 단체를 육성하자/뉴질랜드의 녹용 및 녹육 산업/사슴사료의 올바른 이해/양록통계/복지부, 한약재 품질 특별점검 실시/중국산 한약재서 농약 검출/10월까지 한약품질개선 종합계획 마련/'청남대' 관광객에 건강식품 강매 업체 검거/한방상식/농축산 뉴스/업계단신/사슴이표장착 사업이 갖는 의미/성락의<사는 이야기>/지회 및 회원 단신

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Text Mining Analysis of Media Coverage of Maritime Sports: Perceptions of Yachting, Rowing, and Canoeing (텍스트마이닝을 활용한 해양스포츠에 대한 언론 보도기사 분석: 요트, 조정, 카누를 중심으로)

  • Ji-Hyeon Kim;Bo-Kyeong Kim
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.6
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    • pp.609-619
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    • 2023
  • This study aimed to investigate the formation of the social perception of domestic maritime sports using text mining analysis of keywords and topics from domestic media coverage over the past 10 years related to representative maritime sports, including yachting, rowing, and canoeing. The results are as follows: First, term frequency (TF) and word cloud analyses identified the top keywords: "maritime," "competition," "experience," "tourism," "world," "yachting," "canoeing," "leisure," and "participation." Second, semantic network analysis revealed that yachting was correlated with terms like "maritime," "industry," "competition," "leisure," "tourism," "boat," "facilities," and "business"; rowing with terms like "competition" and "Chungju"; and canoeing with terms like "maritime," "competition," "experience," "leisure," and "tourism." Third, topic modeling analysis indicated that yachting, rowing, and canoeing are perceived as elite sports and maritime leisure sports. However, the perception of these sports has been demonstrated to have little impact on society, public opinion, and social transformation. In summary, when considering these results comprehensively, it can be concluded that yachting and canoeing have gradually shifted from being perceived as elite sports to essential elements of the maritime leisure industry. Contrariwise, rowing remains primarily associated with elite sports, and its popularization as a maritime leisure sport appears limited at this time.