• 제목/요약/키워드: Online Articles

검색결과 279건 처리시간 0.023초

Open API를 이용한 통합 뉴스 메쉬업 서비스 (Integration News MashUp Service by Open API)

  • 김기택;최광섭;최윤정;이상미;박미라;민준기
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 추계학술대회
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    • pp.1071-1074
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    • 2009
  • 기존의 온라인 신문에서는 다른 신문사의 기사와 비교하기 위하여 다른 스크립트 창에서 확인해야 하는 등의 번거로움이 있다. 이를 해결하기 위해서 본 논문에서는 매일같이 쓰여지는 뉴스 기사들을 신문사별, 분야별로 분류하여 사용자가 원하는 방식으로 서비스하는 'Rose News Reader' 시스템을 제안한다. 이 시스템은 여러 뉴스사의 뉴스 헤드라인 정보를 보여줌으로써 자신이 원하는 모든 정보를 한꺼번에 비교할 수 있고, 분석을 통한 올바르고 정확한 정보 습득할 수 있다.

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A Systematic Review of Acupuncture for Oculomotor Nerve Palsy

  • Ku, Yong Ho;Kang, Jae Hui;Kong, Hae Jin;Ryu, Hwa Yeon;Lee, Hyun
    • Journal of Acupuncture Research
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    • 제36권2호
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    • pp.59-71
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    • 2019
  • Acupuncture treatment for oculomotor nerve palsy has been increasing recently. This study analyzed randomized controlled trials (RCTs) and case reports, using the Cochrane risk of bias tool to investigate the efficacy of acupuncture therapy for oculomotor nerve palsy. This analysis was performed on March 7, 2019, using online databases (PubMed, Cochrane, NDSL, OASIS, CNKI) where 208 articles were retrieved. Of these, there were 18 case reports and 18 RCTs that matched the inclusion criteria, of which 32 studies used acupuncture as the primary intervention, 1 used pharmacopuncture, 1 used fire-needling, and 1 used electroacupuncture. The most commonly used acupoints were BL1, BL2, ST2, TE23, Ex-HN5, LI4, GB14, ST36, GB20 and GB1. Significant findings were reported in all RCTs. Six adverse events were reported in 3 RCTs, with no effect on the outcome. No side effects were reported in the case reports. The risk-of-bias analysis showed that the articles did not report the experimental protocol used and it was not clear whether the study was blinded. Hence, it was difficult to assess the risk of bias. Analysis of 36 studies showed that acupuncture therapy for oculomotor nerve palsy was effective in many cases. It was difficult to evaluate the potential bias.

자연어 처리를 활용한 메타버스 보도, 연구 간 인식 차이 비교 (Utilizing Natural Language Processing to Compare Perceptions of Metaverse between News Articles and Academic Research)

  • 이규호;이준환
    • 한국멀티미디어학회논문지
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    • 제25권10호
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    • pp.1483-1498
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    • 2022
  • While public interests in the metaverse are growing recently in the Korean media and research, its understanding has not been fully established yet. In this study, we aimed to probe whether the rapid growth in media attention about the metaverse has increased its usage as a buzzword accompanied by an absence of scientific context. We analyzed publications and online news containing "metaverse" from 2020 to 2022. The data analysis methods are 1) time series frequency, 2) keyword network, 3) natural language model. The findings indicate the perception gap about metaverse between research and news articles broadened as its popularity has grown. Research about metaverse gradually expanded its connections with related topics-virtual and augmented realities-focusing on social changes in a remote environment. However, media reporting frequently used "metaverse" as a buzzword rather than explaining its scientific background, stimulating the proliferation of related topics and the dispersion of news content. This study further discusses the need for a media strategy to improve public conception of the long-term development of the metaverse.

국내 패션기업의 ESG 실행 현황 분석 (Analyzing ESG practices of fashion businesses in Korea)

  • 박경애;허순임
    • 복식문화연구
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    • 제30권1호
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    • pp.102-120
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    • 2022
  • With the growing importance of ESG as a must-have business strategy, this study attempted to analyze the current state of ESG practices in the Korean fashion businesses. The ESG cases of fashion business were collected from news articles searched on the largest Korean internet portal by November 2021 from October 2020 when the number of articles began to increase meaningfully. Three hundred ninety one ESG cases of 112 fashion manufacturing brands and 332 ESG cases of 49 retail brands were analyzed. Casual and outdoor/sportswear brands among fashion manufacturers were most active in ESG practices, and various online and offline retailers were practicing ESG. Approximately one-third of the fashion brands were positioned as eco-friendly concept. While environmental practices were the most practiced ESG, governance was the least practiced. Among environmental practices, fashion manufacturing businesses were most active in eco-friendly product development, while retail businesses were in eco-friendly campaign-event-service and eco-friendly packaging. The most active social practice was the contribution to communities, followed by retail businesses' sharing growth with partner businesses. Governance practices were focused on the structure and operation of the board. Various ESG collaborations with various partners were also observed. The research result is meaningful verifying and diagnosing the ESG practices of the Korean fashion businesses.

Conflict Analysis in Construction Project with Unstructured Data: A Case Study of Jeju Naval Base Project in South Korea

  • Baek, Seungwon;Han, Seung Heon;Lee, Changjun;Jang, Woosik;Ock, Jong Ho
    • 국제학술발표논문집
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    • The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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    • pp.291-296
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    • 2017
  • Infrastructure development as national project suffers from social conflict which is one of main risk to be managed. Social conflicts have a negative impact on not only the social integration but also the national economy as they require enormous social costs to be solved. Against this backdrop, this study analyzes social conflict using articles published by online news media based on web-crawling and natural language processing (NLP) techniques. As an illustrative case, the Jeju Naval Base (JNB) project which is one of representative conflict case in South Korea is analyzed. Total of 21,788 articles and representative keywords are identified annually. Additionally, comparative analysis is conducted between the extracted keywords and actual events occurred during the project. The authors explain actual events in the JNB project based on the extracted words by the year. This study contributes to analyze social conflict and to extract meaningful information from unstructured data.

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인터넷 뉴스 데이터 텍스트 분석을 통해 본 우리나라 농촌다움에 대한 이미지 연구 (The Image of Ruralism in Korea through a Text Mining for Online News Media analysis)

  • 손용훈;김용진
    • 농촌계획
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    • 제25권4호
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    • pp.13-26
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    • 2019
  • The rural areas in South Korea have changed rapidly in the process of national land development. Rural landscapes have become discoloured, and their attractiveness has decreased as cities have expanded. But the attractiveness or multifunctional values of rural areas has become more important in contemporary society around the world. According to this social demand, the efforts of conserving the rural landscape are of high priority and the recovery of ruralism in the area is required. This study has tried to understand how the public image of ruralism in South Korea has been influenced by the news media. The study retrieved news articles using the web searching portal site from the six keywords, commonly used to refer to ruralism, including 'rural landscape', 'rural community', 'rural tourism', 'rural life', 'rural amenity', and 'rural environment'. News data from the six keywords were also collected respectively from within the year-period of 2004-05, 2007-08, 2012-13, and 2016-17. In the text mining analysis, the nouns with high Degree Centrality were figured out, and the changes by year-period were identified. Then, LDA topic analysis was performed for text datasets of six keywords. As a result, the study found that the news articles gave an informed focus on only a handful of issues such as 'poor rural living condition', 'regional or village improvement projects', 'rural tourism promotion projects', and 'other government support projects'. On the other hand, nouns related to virtues and values in the rural landscape were less shown in news articles. These results have become more apparent in recent years. In the topic analysis, 35 topics were identified. 'village development projects', 'rural tourism', and 'urban-rural exchange projects' were appeared repeatedly in several keywords. Among the topics, there are also topics closely related to ruralism such as 'rural landscape conservation', 'eco-friendly rural areas', 'local amenity resources', 'public interest values of agriculture', and 'rural life and communities'. The study presented an image map showing ruralism in South Korea using a network map between all topics and keywords. At the end of the study, implications for Korean rural area policy and research directions were discussed.

텍스트 마이닝을 활용한 매스 미디어와 소셜 미디어 의제 분석 : '마스크 5부제'를 중심으로 (Mass Media and Social Media Agenda Analysis Using Text Mining : focused on '5-day Rotation Mask Distribution System')

  • 이새미;유승의;안순재
    • 한국콘텐츠학회논문지
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    • 제20권6호
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    • pp.460-469
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    • 2020
  • 본 연구는 코로나19 사태로 인하여 최근 이슈로 떠오르는 '마스크 5부제'에 대한 온라인 뉴스 기사와 카페글을 분석하여 언론과 대중들의 반응을 담고 있는 매스 미디어와 소셜 미디어 의제를 파악하고, 그 차이점을 알아보았다. 분석을 위해 네이버 뉴스 기사 전문 2,096건과 카페글 1,840건을 수집하고 데이터 전처리 과정과 정제과정을 거쳐 단어 빈도분석, 워드 클라우드, LDA 토픽모델링 분석을 실시하였다. 분석 결과, 매스 미디어에 비해 소셜 미디어는 '대리 구매', '개학 연기', '마스크 사용', '마스크 구입'과 같이 실생활 관련 토픽이 나타나 개인 미디어의 특성이 반영되어 정보 전달의 기능 보다는 개인의 의견, 감정, 정보를 교류하는 역할을 하는 것으로 나타났다. 본 연구에 적용된 연구방법의 적용으로 다양한 미디어 분석을 통해 사회이슈가 공중의제화되고, 정부의제로 진화하는 정책의제설정 과정에서 참고자료로 활용될 수 있을 것이다.

Inappropriate Survey Design Analysis of the Korean National Health and Nutrition Examination Survey May Produce Biased Results

  • Kim, Yangho;Park, Sunmin;Kim, Nam-Soo;Lee, Byung-Kook
    • Journal of Preventive Medicine and Public Health
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    • 제46권2호
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    • pp.96-104
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    • 2013
  • Objectives: The inherent nature of the Korean National Health and Nutrition Examination Survey (KNHANES) design requires special analysis by incorporating sample weights, stratification, and clustering not used in ordinary statistical procedures. Methods: This study investigated the proportion of research papers that have used an appropriate statistical methodology out of the research papers analyzing the KNHANES cited in the PubMed online system from 2007 to 2012. We also compared differences in mean and regression estimates between the ordinary statistical data analyses without sampling weight and design-based data analyses using the KNHANES 2008 to 2010. Results: Of the 247 research articles cited in PubMed, only 19.8% of all articles used survey design analysis, compared with 80.2% of articles that used ordinary statistical analysis, treating KNHANES data as if it were collected using a simple random sampling method. Means and standard errors differed between the ordinary statistical data analyses and design-based analyses, and the standard errors in the design-based analyses tended to be larger than those in the ordinary statistical data analyses. Conclusions: Ignoring complex survey design can result in biased estimates and overstated significance levels. Sample weights, stratification, and clustering of the design must be incorporated into analyses to ensure the development of appropriate estimates and standard errors of these estimates.

오픈액세스 확산을 위한 APC 지원 정책에 관한 연구 (A Study on APC Subsidy Policies to Encourage OA Publishing)

  • 신은자
    • 정보관리학회지
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    • 제31권3호
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    • pp.249-270
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    • 2014
  • 전체 학술지 논문 가운데 오픈액세스(Open Access, OA)가 차지하는 비중은 현재 20%-30%에 이르고 있고, 최근에는 출판 즉시 오픈액세스가 가능한 골드 OA에 대한 관심이 높다. 이 연구는 골드 OA를 출판하기 위한 선결 조건인 '논문 처리 수수료(Article Processing Charges, APC)' 지원에 관한 것으로 연구후원기관과 저자의 재직대학에서 어떠한 정책을 수립하여 실천하고 있는지를 알아보았다. 영국을 비롯한 유럽에서는 수년 동안 연구후원기관의 APC 부담에 관한 타당성 검토와 시범사업을 진행하여 왔고, 현재 본격적으로 시행하고 있는 단계이다. 미국을 비롯한 북미에서는 주요 대학도서관을 중심으로 OA 펀드를 조성하여 APC를 지원하고 있다. 반면에 한국은 연구후원기관과 대학에서 논문의 그린 OA를 추진할 뿐, APC를 지원하여 골드 OA를 출판하는 단계에 이르지 못하고 있다. 주제 분야에 따라 다르지만 국제 학술지에 논문을 출판하는 국내 연구자도 적지 않아 이들의 논문이 골드 OA로 출판된다면 국제적인 파급력은 크게 증진될 전망이다. 이에 국내 연구후원기관과 대학도 골드 OA에 관심을 갖고 OA 전문 학술지와 하이브리드 학술지에서 요구하는 APC를 지원하는 방향으로 정책의 기본 틀을 세우려는 노력을 경주해야 할 것으로 보인다.

단어 임베딩(Word Embedding) 기법을 적용한 키워드 중심의 사회적 이슈 도출 연구: 장애인 관련 뉴스 기사를 중심으로 (A Study on the Deduction of Social Issues Applying Word Embedding: With an Empasis on News Articles related to the Disables)

  • 최가람;최성필
    • 정보관리학회지
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    • 제35권1호
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    • pp.231-250
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    • 2018
  • 본 논문에서는 온라인 뉴스 기사에서 자동으로 추출된 키워드 집합을 활용하여 특정 시점에서의 세부 주제별 토픽을 추출하고 정형화하는 새로운 방법론을 제시한다. 이를 위해서, 우선 다량의 텍스트 집합에 존재하는 개별 단어들의 중요도를 측정할 수 있는 복수의 통계적 가중치 모델들에 대한 비교 실험을 통해 TF-IDF 모델을 선정하였고 이를 활용하여 주요 키워드 집합을 추출하였다. 또한 추출된 키워드들 간의 의미적 연관성을 효과적으로 계산하기 위해서 별도로 수집된 약 1,000,000건 규모의 뉴스 기사를 활용하여 단어 임베딩 벡터 집합을 구성하였다. 추출된 개별 키워드들은 임베딩 벡터 형태로 수치화되고 K-평균 알고리즘을 통해 클러스터링 된다. 최종적으로 도출된 각각의 키워드 군집에 대한 정성적인 심층 분석 결과, 대부분의 군집들이 레이블을 쉽게 부여할 수 있을 정도로 충분한 의미적 집중성을 가진 토픽들로 평가되었다.