• 한국전자거래학회지
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• 제12권3호
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• pp.133-150
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• 2007

본 연구에서는 시맨틱 웹 기술을 이용해 뉴스의 동향을 분석하는 서비스를 제안한다. 뉴스 동향 분석 서비스는 뉴스들 간의 시간흐름 또는 관계들을 분석해 줄 수 있기 때문에 현재의 일반적인 뉴스검색 엔진보다 지능적인 검색 결과를 보여줄 수 있다. 이러한 서비스를 제공하기 위해서는 시간 정보에 대한 추론 기능이 필요하지만 OWL과 같은 시맨틱 웹 언어는 이를 지원하지 못하기 때문에 시간 기반 추론을 지원하기 위해 본 연구에서는 OWL을 확장한 TL-OWL(Temporal Web Ontology Language)을 제안한다.

• 한국의류산업학회지
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• 제22권5호
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• pp.551-560
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• 2020

Due to the nature of fashion design that responds quickly and sensitively to changes, accurate forecasting for upcoming fashion trends is an important factor in the performance of fashion product planning. This study analyzed the major phenomena of fashion trends by introducing text mining and a big data analysis method. The research questions were as follows. What is the key term of the 2010SS~2019FW fashion trend? What are the terms that are highly relevant to the key trend term by year? Which terms relevant to the key trend term has shown high frequency in news articles during the same period? Data were collected through the 2010SS~2019FW Pre-Trend data from the leading trend information company in Korea and 45,038 articles searched by "fashion+material" from the News Big Data System. Frequency, correlation coefficient, coefficient of variation and mapping were performed using R-3.5.1. Results showed that the fashion trend information were reflected in the consumer market. The term with the highest frequency in 2010SS~2019FW fashion trend information was material. In trend information, the terms most relevant to material were comfort, compact, look, casual, blend, functional, cotton, processing, metal and functional by year. In the news article, functional, comfort, sports, leather, casual, eco-friendly, classic, padding, culture, and high-quality showed the high frequency. Functional was the only fashion material term derived every year for 10 years. This study helps expand the scope and methods of fashion design research as well as improves the information analysis and forecasting capabilities of the fashion industry.

• 한국언론정보학보
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• 제50권
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• pp.143-163
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• 2010

이 연구는 지난 12년간 (1998년에서 2009년) 국내 뉴스 미디어의 사회면 기사의 변화 추세와 뉴스 미디어 간의 차이를 분석하는 것을 목적으로 했다. 연구목적 달성을 위해 이 연구는 지난 12년간(1998년 1월에서 2009년 8월)의 사회면 기사 전체의 헤드라인을(n=53,765) 비교하여, 뉴스기사를 통해 드러나는 현실이 시간의 흐름에 따라 변화가 있는지를 조사했다. 그리고 신문과 방송이라는 매체적 특성 그리고 뉴스 미디어의 이념적 성향에 따른 차이를 비교해 보기 위해 국내 지상파 방송 3사에서 보도된 기사와 주요 7개 전국지에 게재된 기사의 헤드라인을 매체와 개별 뉴스 미디어의 두 수준에 걸쳐 비교했다. 분석 결과, 뉴스 미디어의 사회면 기사는 현실과 정권이라고 하는 요인에 의해 영향을 받으며 이 두 요인의 공통성으로 인해 뉴스 미디어간 다소의 유사성을 지니게 된다는 결론에 도달했다. 그러나 동일한 대상(현실과 정권)을 받아들이는 방향과 정도의 차이 때문에 뉴스 미디어 간에 차별화가 이뤄지며 이러한 차이는 사회면 기사의 주제 선택에 영향을 미치게 됨을 알 수 있었다.

• 한국문헌정보학회지
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• 제39권3호
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• pp.183-205
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• 2005

기술동향정보는 연구개발 활동과 과학기술정책의 결정과정에서 매우 중요한 요소이다. 그러나 기술동향정보 메타데이터에 관한 연구는 미비한 실정이다. 이 연구는 뉴스분야에서 표준적 위치에 있는 NewsML을 참고하되, 국내 기술동향정보 서비스에서 사용된 요소를 고려하여 기술동향정보 메타데이터 요소와 스킴을 제안하였다. 이 연구 결과는 앞으로 국내의 실정에 맞는 기술동향정보 메타데이터 표준을 개발하기 위한 기초자료로 이용될 수 있을 것이다.

• 동아시아경상학회지
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• 제10권1호
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• pp.109-121
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• 2022

Purpose - This study attempted to analyze news big data in order to examine the trend of change in housework due to technological innovation and family changes. Research design, data, and methodology - News big data was collected from Bigkinds for the purpose of trend analysis. A total of 8,270 articles containing 'housework' were extracted from news articles between January 1, 1990 and December 31, 2021. 11 general daily newspapers and 8 business newspapers were selected and were analyzed by dividing them into five-year units. Result - The change of trends in housework that appeared through news big data analysis can be summarized as below. First, the tendency to regard housework as work of women or housewives is gradually weakening. Instead, the centrality of connection with double income is increasing. Second, there is a tendency to strengthen the institutional approach to evaluation of the productivity of housework. Third, the possibility of market substitution for housework is expanding. Conclusion - In the era of the 4th industrial revolution, examining the impact of technological innovation and family change on housework not only enables the prospect of an industry, but also provides implications for policies related to housework. In addition, this study is differentiated in that it contributed to expand the field of housework research previously limited to analyzing survey data.

• International Journal of Internet, Broadcasting and Communication
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• 제16권2호
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• pp.31-42
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• 2024

Today, news avoidance has become an inevitable trend, particularly exacerbated since the outbreak of the COVID-19 pandemic in 2020. To delve deeper into the shifting tendencies of news consumers towards news avoidance and unveil the motivations behind this avoidance, this study recruited 500 Chinese news consumers aged between 20 and 60 years old, employing survey questionnaires as the research method. Through an indepth examination of their news consumption behavior at different stages of the COVID-19 pandemic, we discovered that individuals' risk perceptions and efficacy beliefs significantly influence their patterns of news consumption. Furthermore, we identified negative emotions, information overload, and media distrust as the primary reasons for news avoidance among Chinese news consumers during the COVID-19 crisis. These findings Not only provide crucial insights into understanding the dynamics of news consumption behavior but also offer valuable reference points for the news industry to better fulfill its role and value during crises in the future.

• 파렛트 뉴스
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• 통권23호
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• pp.18-20
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• 2001

• 파렛트 뉴스
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• 통권23호
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• pp.21-23
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• 2001

• 인간식물환경학회지
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• 제24권6호
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• pp.563-572
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• 2021

Background and objective: The ongoing COVID-19 pandemic restricted daily life, forcing people to spend time indoors. With the growing interest in mental health issues and residential environments, 'pet plants' have been receiving attention during the unprecedented social distancing measures. This study aims to analyze the change in trends of pet plants before and during the COVID-19 pandemic and provide basic data for studies related to pet plants and directions of future development. Methods: A total of 2,016 news articles using the keyword 'pet plants' were collected on Naver News from January 1, 2018 to August 15, 2019 (609 articles) and January 1, 2020 to August 15, 2021 (1,407 articles). The texts were tokenized into words using KoNLPy package, ultimately coming up with 63,597 words. The analyses included frequency of keywords and topic modeling based on Latent Dirichlet Allocation (LDA) to identify the inherent meanings of related words and each topic. Results: Topic modeling generated three topics in each period (before and during the COVID-19), and the results showed that pet plants in daily life have become the object of 'emotional support' and 'healing' during social distancing. In particular, pet plants, which had been distributed as a solution to prevent solitary deaths and depression among seniors living alone, are now expanded to help resolve the social isolation of the general public suffering from COVID-19. The new term 'plant butler' became a new trend, and there was a change in the trend in which people shared their hobbies and information about pet plants and communicated with others in online. Conclusion: Based on these findings, the trend data of pet plants before and after the outbreak of COVID-19 can provide the basis for activating research on pet plants and setting the direction for development of related industries considering the continuous popularity and trend of indoor gardening and green hobby.

• 광산업정보
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• 통권49호
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• pp.36-39
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• 2008