• 제목/요약/키워드: Web News

검색결과 247건 처리시간 0.024초

빅데이터를 활용한 음식관광관련 의미연결망 분석의 탐색적 적용 (An Exploratory Study on the Semantic Network Analysis of Food Tourism through the Big Data)

  • 김학선
    • 한국조리학회지
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    • 제23권4호
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    • pp.22-32
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    • 2017
  • The purpose of this study was to explore awareness of food tourism using big data analysis. For this, this study collected data containing 'food tourism' keywords from google web search, google news, and google scholar during one year from January 1 to December 31, 2016. Data were collected by using SCTM (Smart Crawling & Text Mining), a data collecting and processing program. From those data, degree centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of 'core service' and 'social marketing' was high. In addition, the web visibility was also high for destination, such as rural, place, ireland and heritage; 'socioeconomic circumstance' related words, such as economy, region, public, policy, and industry. Convergence of iterated correlations showed 4 clustered named 'core service', 'social marketing', 'destinations' and 'social environment'. It is expected that this diagnosis on food tourism according to changes in international business environment by using these web information will be a foundation of baseline data useful for establishing food tourism marketing strategies.

시각장애인을 위한 음성낭독 유즈넷 뉴스그룹 서비스 시스템의 설계 및 구현 (Design and Implementation of Voice Usenet Newsgroup Service System for Visual Disabilities)

  • 조철환;장영건;박찬곤;홍승홍
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.129-132
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    • 2000
  • It is difficult to find web contents for visual disabilities in spite of rapid growing internet users, infrastructures and advance of computer technology. For the case of usenet newsgroup concerning disabilities, hit rate is even less than E-mail because of lack of accessibility, educational support and economical expense for internet. This paper is addressed to voice usenet newsgroup service by using telephone or web browser for visual disabilities without additional S/W support such as 775, usenet program and installation program, suggests a design method and an implementation example for it. Main features of it are easiness of man machine interface, popularity of access device such as telephone or web browser and independency of particular news server by using NNTP. This system supports general MIME format, is implemented for usenet server of Korean Social Worker's Community and will be implemented for Gomduri InfoNet BBS of Korean Society for Rehabilitation of Persons with Disabilities.

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웹기반 교육에 관한 연구 (A Study on Web-Based Education)

  • 고성규;신용철
    • 대한예방한의학회지
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    • 제11권2호
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    • pp.113-120
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    • 2007
  • The Internet is increasingly changing our lives and enables the ordinary person to have access to never-ending quantities of information and knowledge. Technology and the Internet empower individuals and facilitate a more active role in the educational process. The webcast is a media file distributed over the Internet using streaming media technology and is used extensively in the commercial sector for investor relations presentations, in e-learning, and for related communications activities. And relating to computers, technology, and news are particularly popular and many new shows are added regularly. Especially e-learning is a general term used to refer to computer-enhanced learning and has the ability to level the learning playing field. So that the e-learning experience will be second nature to the growing Internet population. And this study intends to develop web-based education.

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VNA 집합을 이용한 뉴스기사의 중요문장 추출 (Unsupervised News Article Summarization Using VNA Sets)

  • 나종열;신지애;최기선
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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    • 한국정보과학회언어공학연구회 2007년도 제19회 한글 및 한국어 정보처리 학술대회
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    • pp.165-168
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    • 2007
  • 본 연구에서는 문서의 문장들을 순위화하여 추출하는 일반적인 문서 요약 방법론을 소개한다. 첫 번째 단계는 주제와 관련되는 동사, 명사, 형용사(VNA) 단어들의 집합을 구하여 각 문장의 주제 관련성 정도를 결정하며, 두 번째 단계는 단어들의 의존관계를 통해 각 문장의 정보 함유량을 판단한다. 두 개의 방법은 모두 주제와 관련된 정보를 많이 내포하는 문장에 중요도를 부여하고 있다. 이러한 방법은 주제와 연관성이 높고 정보전달성이 높은 문서요약을 만들기 위함이다. 생성된 문서요약본의 성능평가는 문서요약의 결과로 추출된 문장들과 설문에 의해 추출된 문장들의 일치율에 의해 시행되었으며 68%의 일치율을 보였다.

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A Corpus-Based Longitudinal Study of Diction in Chinese and British News Reports on Chang'e Project

  • Lu, Rong;Xie, Xue;Qi, Jiashuang;Ali, Afida Mohamad;Zhao, Jie
    • 아시아태평양코퍼스연구
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    • 제3권1호
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    • pp.1-20
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    • 2022
  • As a milestone progression in China's space exploration history, Chang'e Project has attracted a lot of media attention since its first launching. This study aims to examine and compare the similarities and differences between the Chinese media and the British media in using nouns, verbs, and adjectives to report the Chang'e Project. After categorising the documents based on specific project phases, we created two diachronic corpora to explore the linguistic shifts and similarities and differences of diction employed by the Chinese and British media on the Chang'e Project ideology. This longitudinal study was performed with Lancsbox and the CLAWS web tagger through critical discourse analysis as the theoretical framework. The findings of the current study showed that the Chang'e Project coverage in both media increased on an annual basis, especially after 2019. In contrast to the objectivity and positivity in the Chinese Media, the British Media seemed to be more subjective with more appraisal adjectives in the news reports. Nonetheless, both countries were trying to be objective and formal in choosing nouns and verbs. Ideology-wise, the Chinese news media reports portrayed more positivity on domestic circumstances while the British counterpart was typically more critical. Notably, the study outcomes could catalyse future research on the Chang'e Project and facilitate diplomatic policies.

토픽모델링을 활용한 해운물류 뉴스 분석 (Analysis of Shipping and Logistics News Articles using Topic Modeling)

  • 윤희영;곽일엽
    • 무역학회지
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    • 제46권4호
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    • pp.61-76
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    • 2021
  • This study focuses on three logistics-related news (Logistics Newspaper, Korea Shipping Gadget, and Korea Shipping Newspaper) in order to present changes in logistics issues, centering on Corona 19, which has recently had the greatest impact in the world. For data collection, two-year news articles in 2019 and 2020 (title, article, content, date, article classification, article URL) were collected through web crawling (using Python's BeautifulSoup, requests module) on the homepages of three representative logistics-related media companies. As for the data analysis methods, fundamental statistical analysis, Latent Dirichlet Allocation (LDA) for topic modeling, and Scattertext were performed. The analysis results were as follows. First, among the three news media related to logistics, the Korea Shipping Newspaper was carrying out the most active media activities. Second, through topic modeling with LDA, eight logistics-related topics were identified, and keywords and significant issues of each topic were presented. Third, the keywords were visually expressed through Scattertext. This is the first study to present changes in the logistics field, focusing on articles from representative logistics-related media in 2019 and 2020. In particular, 2019 and 2020 can be divided into before and after the outbreak of Corona 19, which has had a great impact not only on the logistics field but also on our lives as a whole. For future work, a multi-faceted approach is required, such as comparative studies of logistics issues between countries or presenting implications based on long-term time-series articles.

빅데이터 분석 서비스 지원을 위한 지능형 웹 크롤러 (Intelligent Web Crawler for Supporting Big Data Analysis Services)

  • 서동민;정한민
    • 한국콘텐츠학회논문지
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    • 제13권12호
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    • pp.575-584
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    • 2013
  • 빅데이터 분석을 위해 활용되는 데이터로는 뉴스, 블로그, SNS, 논문, 특허 그리고 센서로부터 수집된 데이터 등 매우 다양한 유형의 데이터가 있다. 특히, 신뢰성 있는 데이터를 실시간 제공하는 웹 문서의 활용이 점차 확산되고 있다. 그리고 빅데이터의 활용이 다양한 분야로 점차 확산되고 웹 데이터가 매년 기하급수적으로 증가하면서 웹 문서를 자동으로 수집하는 웹 크롤러의 중요성이 더욱 커지고 있다. 하지만, 기존 크롤러들은 일부 사이트에서 수집된 웹 문서에 포함된 URL만을 기반으로 웹 문서를 수집하기 때문에 사이트 전체 웹 문서를 수집할 수 없는 문제를 가진다. 또한, 수집된 웹 문서에 대한 정보를 효율적으로 관리하지 못하기 때문에 중복된 웹 문서를 수집하는 문제를 가진다. 그래서 본 논문에서는 웹 사이트의 RSS와 Google Search API를 통해 기존 웹 크롤러의 문제를 해결하고 RMI와 NIO을 활용해 서버와 클라이언트간 네트워크 연결을 최소화해 빠른 크롤링 기능을 제공하는 분산형 웹 크롤러를 제안한다. 또한, 제안하는 웹 크롤러는 웹 문서를 구성하는 태그들에 대한 키워드 유사도 비교를 통해, 분석에 활용되는 중요 콘텐츠만을 자동 추출하는 기능을 제공한다. 마지막으로, 기존 웹 크롤러와 제안하는 크롤러의 성능 평가 결과를 통해 제안하는 웹 크롤러의 우수성을 입증한다.

웹 콘텐츠에서 모바일 디바이스 기반 아이템 블록을 추출하기 위한 세그먼트 알고리즘 (A Segment Algorithm for Extracting Item Blocks based on Mobile Devices in the Web Contents)

  • 김수도;박태진;박만곤
    • 한국멀티미디어학회논문지
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    • 제12권3호
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    • pp.427-435
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    • 2009
  • 사용자들은 웹 콘텐츠의 세부 내용단위인 메뉴, 로그인, 뉴스, 동영상 등 다양한 아이템에서 자신이 홍미있는 아이템을 찾아 읽고 아이템에 연결된 하이퍼렁크를 클릭한다. 모바일 디바이스처럼 작은 스크린에서는 데스크탑 기반의 웹 콘텐츠를 동시에 보여주기 힘들어 사용자는 좌우 또는 상하 스크롤링을 통해 아이템을 찾아 헤매는 검색의 불편함이 발생한다. 사용자가 자주 사용하거나 또는 원하는 아이템을 찾아 먼저 표현하여 모바일 인터페이스 조작의 불편함을 감소시킬 수 있다. 그러기 위해 웹 콘텐츠는 세부 내용단위인 아이템 별로 세그먼트되어야 한다. 기존 대부분의 세그먼트 알고리즘들은 웹 콘텐츠의 HTML 코드와 모바일 사이즈에 기반하여 세그먼트하고 있어 다양한 아이템들이 구조적으로 더욱 복잡하게 형성되고 있는 현대의 웹 콘텐츠에서 내용 단위인 아이템 블록으로 세그먼트하는데 여러 어려움이 있다. 본 논문에서는 데스크탑 웹 콘텐츠에서 내용 단위에 기반한 아이템 블록 추출을 위한 세그먼트 알고리즘을 제안한다.

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한국 인터넷 신문기사에서 뜸 관련 의료정보 평가 (Evaluation of Moxibustion -related Health Information on Korean Internet News Coverage)

  • 강오석;박히준;김송이;이혜정;채윤병
    • Journal of Acupuncture Research
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    • 제26권2호
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    • pp.189-199
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    • 2009
  • Objectives : Despite the substantial amount of newspaper coverage related to complementary and alternative medicine on the internet in recent years, little is know about the quality of the health information. To evaluate health information of the newspaper articles on moxibustion available in Korea through Korean language search engines and Web sites. Methods : We searched 454 news stories about moxibustion between 1 January 2006 and 31 December 2008. Among them, 34 internet news coverage related to health information on moxibustion were selected and rated against eight categories by two individuals. Results : The inter-rater reliability of the two reviewers was assessed as 0.69, indicating a moderately high level of agreement. The overall rating score for 34 articles was 35.7${\pm}$17.2 for the statement criteria and 12.9${\pm}$17.0 for the satisfaction criteria. Overall, although they might be improving recently, the scores remain generally low. There was a statistically significant difference in the score of the newspaper coverage according to the type of evidence sources, including anecdotes. Conclusions : There is substantial variability in news reporting practices about moxibustion. It is urgently needed to enhance the information related to CAM including moxibustion through the news media in Korea.

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전시컨벤션센터 식품박람회와 관련된 빅데이터의 의미연결망 분석 (A Semantic Network Analysis of Big Data regarding Food Exhibition at Convention Center)

  • 김학선
    • 한국조리학회지
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    • 제23권3호
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    • pp.257-270
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    • 2017
  • The purpose of this study was to visualize the semantic network with big data related to food exhibition at convention center. For this, this study collected data containing 'coex food exhibition/bexco food exhibition' keywords from web pages and news on Google during one year from January 1 to December 31, 2016. Data were collected by using TEXTOM, a data collecting and processing program. From those data, degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of hospitality and destinations was high. In addition, the web visibility was also high for convention center programs, such as festival, exhibition, k-pop and event; hospitality related words, such as tourists, service, hotel, cruise, cuisine, travel. Convergence of iterated correlations showed 4 clustered named "Coex", "Bexco", "Nations" and "Hospitality". It is expected that this diagnosis on food exhibition at convention center according to changes in domestic environment by using these web information will be a foundation of baseline data useful for establishing convention marketing strategies.