• Title/Summary/Keyword: Newspaper articles

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Evaluation of Child Health Information Articles in Newspapers (주요 일간신문에 보도된 아동 건강정보 기사 평가)

  • Kim Shin Jeong;Lee Jeong Eun;Choi Hwan Seok
    • Child Health Nursing Research
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    • v.5 no.3
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    • pp.329-339
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    • 1999
  • The Purpose of this study was to take the right direction and meet the requirements of newspaper function about child health through evaluation of child health information articles in newspapers. Data were collected 4 main daily newspaper by selecting child health information articles during 1 year from January 1 to December 31, 1998. The results of this study are as follows. The frequency according to health category, disease treatment(47 7%) topped followed by health maintenanceㆍpromotion(28.8%). growthㆍdevelopment(12.1%), disease Prevention(11.4%). The frequency according to WHO international disease classification, infectious disease (23.6%) take most. In evaluation area of child health information, practical usage(3.78) topped followed by accuracy(3.68), comprehensiveness(3.64), clearness (3.48), concreteness(3.33).

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Exploring the Trends and Challenges of Artificial Intelligence Education through the Analysis of Newspapers in Korea, 1991-2020: A topic-modeling approach

  • Kim, Sung-ae
    • Journal of information and communication convergence engineering
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    • v.18 no.4
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    • pp.216-221
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    • 2020
  • Artificial intelligence (AI), an essential skill of the Fourth Industrial Revolution, is being actively taught in higher education; however, AI education is only in the preparatory stage in elementary, middle, and high schools. Investigating various newspaper articles related to AI education to date can aid in basic data collection, which is an important process in the preparatory stage. Accordingly, 13,378 newspaper articles were collected from a total of 21 newspapers, and five topics were extracted using the latent Dirichlet allocation (LDA)-based topic model along with frequency analysis. Newspaper articles from the early 2000s expanded to technologies related to the Fourth Industrial Revolution. Accordingly, education in AI fields should be linked with education in AI-based technology. In addition, efforts should be made to secure the continuity and sequence of AI education in cooperation with related higher institutions and companies.

A Study on the Application of the FRBR Model to Newspaper (신문의 FRBR 모형 적용에 관한 연구)

  • Chang, Inho
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.3
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    • pp.333-349
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    • 2015
  • This study examined the application of the FRBR model to newspapers and news articles. In order to meet the purpose that was mentioned above, we analyzed data items based on the level of newspapers and articles and discussed how the FRBR model may be applied. In terms of the level of a newspaper, each of newspapers, morning/evening paper, issue and edition are regarded as an individual work, and the relationship among them are considered to be the 'whole-part relationship'. Each article on the level of article basis was considered to be a work and was in a relationship of 'whole-part relationship' with the edition of each level of newspapers. Newspaper articles can be represented as texts, photographs, graphics, and tables, etc., and regarded as an individual work. Each work can be a part of the article on a newspaper or can be an independent article itself. Moreover, a uniform heading of each boxed article and running story is included in the work of each article and is forming a 'whole-part relationship'. Because of the changes of the newspaper name, the uniform title of each name regarded as a single binding. It is called the superwork and it is forming 'whole-part relationship' with each name.

An Analysis of Newspaper Articles on Fine Particle Matter Using Text Mining Techniques (텍스트마이닝을 이용한 미세먼지 관련 신문기사 분석)

  • Yang, Ji-Yeon
    • Journal of Digital Convergence
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    • v.20 no.1
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    • pp.1-13
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    • 2022
  • This study aims to examine the trend and characteristics of newspaper articles concerned with fine particle matter. Newspaper articles since 1995 collected from Bigkinds were analyzed using text mining techniques, sentiment analysis and regression analysis. Air pollution measurement and domestic pollutants appeared frequently previously, but "China" became the keyword in the 2010s along with political action, the effects on the health, AD/PR, and domestic pollutants. Korea JoongAng Daily, Hankyoreh and Kyunghyang Shinmun have had more focused on political regulations whereas most regional daily newspapers on emission sources and reduction measures at the regional level. The results of this study are expected to be used as a reference for understanding the trend of newspaper articles. Future work includes further analysis and discussion of fine particle pollution condition and news reports in the post-COVID era.

Twitter Sentiment Analysis for the Recent Trend Extracted from the Newspaper Article (신문기사로부터 추출한 최근동향에 대한 트위터 감성분석)

  • Lee, Gyoung Ho;Lee, Kong Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.10
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    • pp.731-738
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    • 2013
  • We analyze public opinion via a sentiment analysis of tweets collected by using recent topic keywords extracted from newspaper articles. Newspaper articles collected within a certain period of time are clustered by using K-means algorithm and topic keywords for each cluster are extracted by using term frequency. A sentiment analyzer learned by a machine learning method can classify tweets according to their polarity values. We have an assumption that tweets collected by using these topic keywords deal with the same topics as the newspaper articles mentioned if the tweets and the newspapers are generated around the same time. and we tried to verify the validity of this assumption.

Topic Modeling of Korean Newspaper Articles on Aging via Latent Dirichlet Allocation

  • Lee, So Chung
    • Asian Journal for Public Opinion Research
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    • v.10 no.1
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    • pp.4-22
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    • 2022
  • The purpose of this study is to explore the structure of social discourse on aging in Korea by analyzing newspaper articles on aging. The analysis is composed of three steps: first, data collection and preprocessing; second, identifying the latent topics; and third, observing yearly dynamics of topics. In total, 1,472 newspaper articles that included the word "aging" within the title were collected from 10 major newspapers between 2006 and 2019. The underlying topic structure was analyzed using Latent Dirichlet Allocation (LDA), a topic modeling method widely adopted by text mining academics and researchers. Seven latent topics were generated from the LDA model, defined as social issues, death, private insurance, economic growth, national debt, labor market innovation, and income security. The topic loadings demonstrated a clear increase in public interest on topics such as national debt and labor market innovation in recent years. This study concludes that media discourse on aging has shifted towards more productivity and efficiency related issues, requiring older people to be productive citizens. Such subjectivation connotes a decreased role of the government and society by shifting the responsibility to individuals not being able to adapt successfully as productive citizens within the labor market.

A Study on the Public Relations of Public Libraries through Newspaper Article Analysis: The Case of Eunpyeong Public Library (신문기사 분석을 통한 공공도서관의 홍보에 관한 연구 - 은평구립도서관의 사례를 중심으로 -)

  • Cho, Chan-Sik
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.1
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    • pp.223-240
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    • 2012
  • This study aimed to enhance our understanding of the public relations of public libraries through newspaper article analysis. Thus, this study built a theoretical background on the public relations of public libraries through newspaper articles. It examined newspaper articles on Eunpyeong Public Library in 2010 according to newspaper classification, article type, and article content among others. Accordingly, this exploratory case study, which used the methods of content analysis, interview, and site visit, analyzed them, with emphasis on such factors as the subjects, objects, direction, contents, and methods that influenced the public relations of public libraries.

A Study on the general language use of ROOJIN : in Headline Database of Newspaper Articles and Balanced Corpus of Contemporary Written Japanese by KOKKEN (현대일본문장어의 「노인(老人)」사용실태 - 国硏「ことばに関する新聞記事見出しデ?タベ?ス」 「現代日本語書き言葉均衡コ?パス」를 분석대상으로)

  • Oh, Mi sun
    • Cross-Cultural Studies
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    • v.25
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    • pp.627-648
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    • 2011
  • The study analyzed a diachronic distribution, social meanings and social evaluations of ROOJIN. 'Headline Database of Newspaper Articles' and 'Balanced Corpus of Contemporary Written Japanese' by KOKKEN were used as research data. There were 305 newspaper articles (About 0.2%) which contained the word ROOJIN at 'Headline Database of Newspaper Articles'. The number of newspaper articles related to ROOJIN started to increase in a rapid rate in 1972 and 1973. They were also increased in 1976, from 1981 to 1987, 1992 and 1993. The reasons of increasing of newspaper articles related to ROOJIN on those 4 periods of time could be summarized as follows. Firstly, there was a increasement of ROOJIN who are lonely, are not able to move about freely or live alone. Secondly, the understanding of a symptom of aging called BOKE was necessary. Thirdly, there were negative evaluations in a society towards ROOJIN. There were 453 cases which contained the word ROOJIN at 'Balanced Corpus of Contemporary Written Japanese' on the data since 2000. The most frequently used words were ones that are related to senior care facilities. There were 109 cases (24%) which contain those words. '~SISETSU', '~SENTA-', '~HO-MU' were presented as words related to senior care facilities. Among them, 78 cases contained the word '~HO-MU' which was similar to a home with family members. The second most frequently used words were ones that are related to 'welfare for the aged' and they are led by 'medical care for the aged'. They occupied about 8%. Institutionalization of medical care for the aged, medical expenses, nursing were presented as words related to 'medical care for the aged'. Words that were related to 'welfare for the aged' led by 'senior care facilities' and 'medical care for the aged' occupied about 32% of research data. As mentioned above, problems of the aged in Modern Japan such as negative evaluations in a society towards ROOJIN, ROOJIN who are lonely, are not able to move about freely or live alone, BOKE could be identified by analyzing the data. Also, The frequent usage of words such as 'Home for the aged', 'medical care for the aged' and 'nursing' could be identified. The outcome of analysis suggested that a family traditionally had a function of solving problems of the aged but that function was reduced in modern Japan. It also suggested that there was a tendency to outsource problems of the aged as much as possible.

Herbal-drug-associated Adverse Events Reported in the Internet Newspaper Articles (인터넷 신문기사에 보도된 한약 유해사례 분석)

  • Kim, Mikyung;Han, Chang-Ho
    • The Journal of Korean Medicine
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    • v.36 no.1
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    • pp.33-44
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    • 2015
  • Objectives: The aim of this study was to understand the characteristics of herbal-drug-associated adverse events (AEs) reported in the internet newspaper articles and to take a countermeasure against the safety issue of herbal drugs. Methods: We searched the internet newspaper articles published from 2010 to 2014 in the 3 major portal sites in Korea, NAVER, DAUM, and GOOGLE. Search terms were the Korean words equivalent of 'herbal drug' and 'side effects'. Informations on the type and characteristics of suspected herbal drugs, AEs, and the patient records were extracted from the articles reporting the herbal-drug-associated AE occurred in Korea. Results: From 8,806 articles, a total of 36 AEs were found. The most frequently reported age group was 20s, and women outnumbered men. Obesity was the most common cause of administration. Doctors of Korean medicine clinic were the most commonly referred prescribers and purchasing route (11 cases). The most frequently mentioned medicinal herb was Ephedra sinica (7 cases) and the most commonly reported AEs were abdominal pain (8 cases), dizziness (6 cases), diarrhea (5 cases), and vomiting (5 cases) were followed in order. Ten cases were judged as serious AEs, and the others were not. Conclusions: Current customers demand health care providers to offer them sufficient information on the safety of herbal drugs. To satisfy their requirements, physicians of Korean medicine should be able to explain, predict, prepare, recognize, and deal with the herbal-drug-associated AEs. We propose an establishment of pharmacovigilance system for herbal medicine, in which doctors of Korean medicine are participated as important personnel, to collect and analyze the related AEs and offer credible information on the safety of herbal drug.

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

  • Hee-Young Yoon;Il-Youp Kwak
    • Korea Trade Review
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    • v.46 no.4
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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.