• Title/Summary/Keyword: 뉴스 프로그램

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Analysis of Yoga Keywords with Media Big Data (미디어 빅데이터를 통한 요가 관련 키워드 분석)

  • Chi, Dong-Cheol;Lim, Hyu-Seong;Kim, Jong-Hyuck
    • Journal of the Korea Convergence Society
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    • v.13 no.5
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    • pp.365-372
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    • 2022
  • South Korea is entering an aging society, and since the musculoskeletal system directly affects elders' daily life, muscle exercise and flexibility are required. In particular, yoga relaxes the mind and the body and heightens stress coping ability. To investigate keywords about yoga, news articles provided by BIGKinds, a news analysis system, was applied to collect articles from January 1, 2019, to December 31, 2021, and an analysis was conducted about the monthly keywords and the relationship followed by the weighted degree. Based on the research findings, first, it showed that there is high interest in yoga during the spring and autumn seasons. Second, yoga is offered in non-contact methods nowadays, and various social network services are applied for the operation. Third, there was high public attention to articles on yoga instructors and trainers, and this revealed the importance and interest in online coaching. It is anticipated to apply it for the development of yoga workout programs and base data to develop sports for all.

A Study on the Response of Military Sexual Violence: Based on Big Data Analysis of Related Articles (군 성폭력 대응 실태연구: 관련 기사 빅 데이터 분석 중심)

  • Young-Ran Kim;Min-Sun Lee;Hyun Song
    • Industry Promotion Research
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    • v.8 no.4
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    • pp.131-137
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    • 2023
  • This study collected and analyzed articles related to military sex crimes covered in the news from February 2019 to May 28, 2022 in order to identify problems arising from sexual crimes in the military. In order to understand the current status of military sexual violence reported in the media, articles were collected using BIGKinds, a news big data analysis system, and using the Textom program, the study was conducted using frequency analysis by period, word cloud, and semantic network analysis techniques for keywords. The study was conducted using the technique. As a result of data analysis, first, it was confirmed that the public's attention was focused on the victims in reports related to sex crimes within the military. Second, the problem of the lukewarm system of the relevant authorities in responding to sex crimes was revealed. Third, there was a lack of support for victims of sex crimes.

Effects of Exposure to Cooking Show Contents on the Consumption of Agricultural Products: Focused on Potato Consumption (쿡방 콘텐츠 노출이 농식품 소비에 미치는 효과: 감자 소비를 중심으로)

  • Rah, HyungChul;Kim, Hyeon-Woong;Ko, Hyeonseok;Shin, Jaehoon;Cho, Yongbeen;Nasridinov, Aziz;Yoo, Kwan-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.400-407
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    • 2021
  • Recently, mukbang and cookbang or cooking shows on TV and YouTube channels have increased, and the influences of these broadcasts on food consumption have been gradually increasing. There were several news articles on 'Baek Jong-won effect', in which the consumption of the agri-food Mr. Jong-won Baek mentioned on his broadcast soared, and even foods named after him are on the market. In this study, Mr. Jong-won Baek, who produces influential cooking contents through various media, was taken as a representative example. We evaluated if 'Baek Jong-won effect' exists on potato consumption, which Mr. Jong-won Baek broadcasted potato cooking recipes on TV and YouTube. After the potato recipe was broadcasted for the first time on the TV show called HomeFoodRescue, the differences in the amount of money to purchase potatoes before and after the broadcast were estimated by using the money amount to purchase data of Agri-food consumers panel and the difference-in-differences method at 6 time points (3, 6, 9, 12, 24, and 36 months). Among the time points analyzed, the potato purchases at post-broadcast were less than those at pre-broadcast. No results were observed suggesting the existence of 'Baek Jong-won effect' on potato consumption through HomeFoodRescue show in the study.

An Analysis of Changes in Social Issues Related to Patient Safety Using Topic Modeling and Word Co-occurrence Analysis (토픽 모델링과 동시출현 단어 분석을 활용한 환자안전 관련 사회적 이슈의 변화)

  • Kim, Nari;Lee, Nam-Ju
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.92-104
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    • 2021
  • This study aims to analyze online news articles to identify social issues related to patient safety and compare the changes in these issues before and after the implementation of the Patient Safety Act. This study performed text mining through the R program, wherein 7,600 online news articles were collected from January 1, 2010, to March 5, 2020, and examined using keyword analysis, topic modeling, and word co-occurrence network analysis. A total of 2,609 keywords were categorized into 8 topics: "medical practice", "medical personnel", "infection and facilities", "comprehensive nursing service", "medicine and medical supplies", "system development and establishment for improvement", "Patient Safety Act" and "healthcare accreditation". The study revealed that keywords such as "patient safety awareness", "infection control" and "healthcare accreditation" appeared before the implementation of the Patient Safety Act. Meanwhile, keywords such as "patient safety culture". and "administration and injection" appeared after the act's implementation with improved ranking of importance pertaining to nursing-related terminology. Interest in patient safety has increased in the medical community as well as among the public. In particular, nursing plays an important role in improving patient safety. Therefore, the recognition of patient safety as a core competency of nursing and the persistent education of the public are vital and inevitable.

A Study on the Perception and Experience of Daejeon Public Library Users Using Text Mining: Focusing on SNS and Online News Articles (텍스트마이닝을 활용한 대전시 공공도서관 이용자의 인식과 경험 연구 - SNS와 온라인 뉴스 기사를 중심으로 -)

  • Jiwon Choi;Seung-Jin Kwak
    • Journal of the Korean Society for Library and Information Science
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    • v.58 no.2
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    • pp.363-384
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    • 2024
  • This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.

Named Entity Recognition and Dictionary Construction for Korean Title: Books, Movies, Music and TV Programs (한국어 제목 개체명 인식 및 사전 구축: 도서, 영화, 음악, TV프로그램)

  • Park, Yongmin;Lee, Jae Sung
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.7
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    • pp.285-292
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    • 2014
  • A named entity recognition method is used to improve the performance of information retrieval systems, question answering systems, machine translation systems and so on. The targets of the named entity recognition are usually PLOs (persons, locations and organizations). They are usually proper nouns or unregistered words, and traditional named entity recognizers use these characteristics to find out named entity candidates. The titles of books, movies and TV programs have different characteristics than PLO entities. They are sometimes multiple phrases, one sentence, or special characters. This makes it difficult to find the named entity candidates. In this paper we propose a method to quickly extract title named entities from news articles and automatically build a named entity dictionary for the titles. For the candidates identification, the word phrases enclosed with special symbols in a sentence are firstly extracted, and then verified by the SVM with using feature words and their distances. For the classification of the extracted title candidates, SVM is used with the mutual information of word contexts.

The Work Identity and Labor Experience of the Broadcasting Scriptwriters : Focusing on the Auto-ethnography that Reflects the Experiences of the Scriptwriters (방송 구성작가의 업무 정체성과 노동경험: 구성작가들의 체험이 반영된 자기기술지 분석을 중심으로)

  • Kim, Mi-Sook
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.645-661
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    • 2021
  • Scriptwriters have appeared in Korea's broadcasting production system for more than 40 years as a key producer. This study specifically investigated the work identity and labor experience of scriptwriters who have played countless roles from planning and organizing programs in various broadcast genres such as non-drama informative program, entertainment, news, and radio to script writing. As a result of examining the work identity and labor experience of the scriptwriters based on the auto-ethnography of the 20 scriptwriters working in the field, they felt that they had an " indispensable" program producer and a media culture producer and at the same time felt that they were taking on tasks that were unclear. They felt that the cause of this inequality was a problem of the production system and employment type, but they recognized that they could not be solved individually, and they were developing their own skills or building connections to get work, and expanding their areas unconditionally.

Business Model of Data Service in Broadcasting and Communication Convergence (유비쿼터스시대 방송과 통신의 컨버전스 데이터 서비스 비즈니스 모델)

  • Jung, Chang-Duk;Lee, Ji-Eun
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2008.11a
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    • pp.41-44
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    • 2008
  • 디지털 컨버전스와 유비쿼터스 시대의 시작은 디지털 미디어 기술의 발전과 방송 통신 사업의 컨버전스를 가속화 시켰으며, 그 결과로DMB, WCDMA, Wibro, IP-TV, HSDPA 등의 새로운 형태의 차세대 제품과 서비스들이 뉴미디어 매체의 핵심으로 등장하고 있다. 국내에서 방송 통신의 컨버전스의 빠른 진행은 세계 최초로 디지털 멀티미디어 방송(DMB) 서비스 시작을 가능하게 하였다. DMB 서비스는 멀티미디어 서비스가 핵심이다. DMB 데이터 서비스인 Broadcasting Website Service(BWS)는 현재 지상파 DMB방송 사업자인 KBS, MBC, SBS, YTNDMB가 본방송 준비 막바지 단계이며, 삼성전자와 LG전자를 비롯한 단말기 개발사들도 데이터 서비스를 위한 제품 출시에 서두르고 있는 등 DMB 산업의 활성화의 주역이 될 것으로 예상된다. DMB의 데이터 서비스는 뉴스, 날씨, 프로그램 정보 등의 단순 정보보기 수준에 그치지 않고, 리턴 채널을 이용한 양방향 서비스와, SMS, 전화걸기 등 휴대전화 단말의 고유기능과의 연계를 통한 다양한 서비스도 선보일 것이다. 더 나아가 향후 T-Commerce와 개인 광고 등 새로운 비즈니스 모델과 사업영역으로 확산시켜 나갈 수 있을 것이다. 그러나, 아직까지 DMB와 데이터 서비스는 초기단계로서, 표준 기술의 규격 작업, 이론적 논의들, 관련 사업자들의 비즈니스 준비 등에서 검토되어, 실제 사용자들을 대상으로한 연구 분석이 이루어 지지 않았다는 연구의 한계를 가지고 있다. 본격적으로 방송, 통신 컨버전스 데이터 서비스가 시작되면서, 사용자들에 초점을 맞춘 많은 연구가 이루어지길 바라며, 이러한 연구의 분석을 통해 또 다른 새로운 서비스와 비즈니스 기회의 창출을 기대해 본다.

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Interactive Virtual Floor System and Application of the TV Virtual Studio (TV 가상 스튜디오의 인터랙티브 가상 바닥 시스템 및 어플리케이션 구현)

  • Yang, Ki-Sun;Kim, Byungsun;Suh, Young-Woo;Kwak, Chun-Sub;Kim, Chang-Hun
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.23-24
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    • 2016
  • 본 논문은 가상스튜디오(TV)에서 인터랙티브 가상 바닥을 위한 시스템 및 그 어플리케이션을 제안한다. 우리는 가상스튜디오에서 연기자와 바닥 그래픽간의 단순한 키(Keying) 합성 이질감을 줄이고자, 연기자를 추적하여 발 위치에 다이나믹한 발자취 표현이 가능한'인터랙티브 가상바닥' 어플리케이션을 구현하였다. 이것을 위해 마커 없이 연기자의 위치를 추적하도록 키넥트와 같은 모션인식 카메라를 사용하여 간편한 연기자 발 추적 시스템을 개발하였으며, 이것을 이용하여 연기자와 바닥간의 ' 가상 발 터치(Virtual Foot Touch)' 방법 및 일기예보용 인터랙티브 가상바닥(Interactive Virtual Floor) 어플리케이션을 개발하여, 연기자의 발이 바닥을 터치하는 위치마다 계절별 다이나믹한 발자취를 구현하였다. 그 결과 인터랙티브 가상 바닥의 합성결과가 기존의 가상스튜디오에서의 단순 합성보다 더 사실감 있고 자연스러운 합성결과를 보여준다. 우리는 본 시스템과 어플리케이션을 정규 뉴스 프로그램의 일기예보 방송에 적용하였다.

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Preliminary Analysis of Language Styles between South and North Korean Broadcastings (남북한 방송언어의 차이에 대한 기초 분석)

  • Lee, Chang-H.;Kim, Kyung-Il;Park, Jong-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.9
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    • pp.3311-3317
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    • 2010
  • This study compared South and North Korean broadcasting languages to measure the language differences due to the long segregation. This study would provide fundamental database on the language uses between South and North Korea. The KLIWC analyzed the text that was selected from news clips of South and North Korean broadcasting agencies. The results showed that North Korean languages were significantly different from South in terms of affective, cognitive, and social words. In addition, North Korean broadcasting used more person pronoun and a part of speech than South Korean broadcasting. Psychological interpretations were provided based on the language differences.