• Title/Summary/Keyword: Online Articles

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Analysis of the Relations between Social Issues and Prices Using Text Mining - Avian Influenza and Egg Prices - (뉴스기사 분석을 통한 사회이슈와 가격에 관한 연구 - 조류인플루엔자와 달걀가격 중심으로 -)

  • Han, Mu Moung Cho;Kim, Yangsok;Lee, Choong Kwon
    • Smart Media Journal
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    • v.7 no.1
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    • pp.45-51
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    • 2018
  • Avian influenza (AI) is notorious for its rapid infection rate, and has a serious impact on consumers and producers alike, especially in poultry farms. The AI outbreak, which occurred nationwide at the end of 2016, devastated the livestock farming industries. As a result, the prices of eggs and egg products had skyrocketed, and the event was reported by the media with heavy emphasis. The purpose of this study was to investigate the correlation between the egg price fluctuation and the keyword changes in online news articles reflecting social issues. To this end, we analyzed 682 cases of AI-related online news articles for fourteen weeks from November 2016 in South Korea. The results of this study are expected to contribute to understanding the relationship between the actual price of eggs and the keywords from news articles related to social issues.

A topic modeling analysis for Korean online newspapers: Focusing on the social perceptions of nurses during the COVID-19 epidemic period (토픽모델링을 이용한 한국 인터넷 뉴스의 간호사 관련 기사 분석: COVID-19 유행시기를 중점으로)

  • Chang, Soo Jung;Park, Sunah;Son, Yedong
    • The Journal of Korean Academic Society of Nursing Education
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    • v.28 no.4
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    • pp.444-455
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    • 2022
  • Purpose: This study explored the meaning of the social perceptions of nurses in online news articles during the coronavirus disease 2019 (COVID-19) pandemic. Methods: A total of 339 nurse-related articles published in Korean online newspapers from January 1 to December 31, 2020, were extracted by entering various combinations of OR and AND with the four words "Corona," "COVID," "Nursing," and "Nurse" as search keywords using BIGKinds, a news database provided by the Korea Press Foundation. The collected data were analyzed with a keyword network analysis and topic modeling using NetMiner 4. Results: The top keywords extracted from the nurse-related news articles were, in the following order, "metropolitan area," "protective clothing," "government," "task," and "admission." Four topics representing keywords were identified: "encouragement for dedicated nurses," "poor work environment," "front-line nurses working with obligation during the COVID-19 pandemic," and "nurses' efforts to prevent the spread of COVID-19." Conclusion: The media's attention to the dedication of nurses, the shortage of nursing resources, and the need for government support is encouraging in that it forms the public opinion necessary to lead to substantial improvements in treating nurses. The nursing community should actively promote policy proposals to improve treatment toward nurses by utilizing the net function of the media and proactively seek and apply strategies to improve the image of nurses working in various fields.

Is Political Polarization Reinforced in the Online World?: Empirical Findings of Comments about News Articles (온라인 공간의 정치 양극화는 심화될 것인가?: 선거 기사 댓글에 대한 경험적 분석)

  • Eom, Ki-Hong;Kim, Dae-Sik
    • Informatization Policy
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    • v.28 no.4
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    • pp.19-35
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    • 2021
  • The purpose of this research is to investigate the attributes of the online world and to analyze their influence on democracy. The research focuses on the mayoral by-elections that were held in Seoul and Busan, South Korea, on April 4, 2021. The study demonstrates the characteristics of online spaces and the polarization of the online public through news articles and user comments from the Internet. The research includes topic modeling to measure the diversity of media reports, sentiment analysis to measure online public opinion, and interrupted time series analysis to understand how a particular event influences online attitudes. A combination of these methods is used to attempt to estimate the strength of political polarity in the online environment. The study shows diverse media reports by election region and candidate, where the online public repeatedly reveals high negative and low positive attitudes towards each candidate. Moreover, political polarity can differ based on the level of interest in an election. Although voters pay less attention to a by-election than a presidential election, there is a solid political polarity in the online world. Hence, the research recommends preparing measures to alleviate the polarization as politics requires significant online participation.

Policy agenda proposals from text mining analysis of patents and news articles (특허 및 뉴스 기사 텍스트 마이닝을 활용한 정책의제 제안)

  • Lee, Sae-Mi;Hong, Soon-Goo
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.1-12
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    • 2020
  • The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.

Personalizing Information Using Users' Online Social Networks: A Case Study of CiteULike

  • Lee, Danielle
    • Journal of Information Processing Systems
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    • v.11 no.1
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    • pp.1-21
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    • 2015
  • This paper aims to assess the feasibility of a new and less-focused type of online sociability (the watching network) as a useful information source for personalized recommendations. In this paper, we recommend scientific articles of interests by using the shared interests between target users and their watching connections. Our recommendations are based on one typical social bookmarking system, CiteULike. The watching network-based recommendations, which use a much smaller size of user data, produces suggestions that are as good as the conventional Collaborative Filtering technique. The results demonstrate that the watching network is a useful information source and a feasible foundation for information personalization. Furthermore, the watching network is substitutable for anonymous peers of the Collaborative Filtering recommendations. This study shows the expandability of social network-based recommendations to the new type of online social networks.

The Review for Studies of Aromatherapy, Relaxation Therapy and Exercise Therapy on Depression (우울증에 대한 비약물적 요법 중 아로마테라피, 이완요법, 운동치료에 대한 유효성에 대한 고찰 - 1998년부터 2010년까지 국내 학술지 논문을 중심으로 -)

  • Hwang, Ji-Yeon;Jung, In-Chul;Lee, Sang-Ryong
    • Journal of Oriental Neuropsychiatry
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    • v.22 no.4
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    • pp.1-10
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    • 2011
  • Objectives : This study is to evaluate the efficacy of aromatherapy, relaxation therapy and exercise therapy on depression. Methods : Survey of on nonpharmacotherapies on depression - related articles was done through online paper databases from 1998 to 2010 published in Korean journals. Results : 1. We found 30 articles from 1998 to 2010 published in Korean journals: Aromatherapy(16), Relaxation therapy(6) and Exercise therapy(8). 2. 14 of the 16 articles on aromatherapy reported that aromatherapy was effective in the decrease of depression. 3. 5 of the 6 articles on relaxation therapy reported that relaxation therapy was effective in the decrease of depression. 4. 6 of the 8 articles on exercise therapy reported that exercise therapy was effective in the decrease of depression. Conclusions : In this study, it seems that aromatherapy, relaxation therapy and exercise therapy were effective on reducing depression.

Is There Therapeutic Evidence for PNF? (고유수용성신경근촉진법의 치료적 근거는?)

  • Woo, Young-Keun
    • PNF and Movement
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    • v.12 no.2
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    • pp.51-61
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    • 2014
  • Purpose: This study aimed to review articles related to PNF and easily provide information to readers who have difficulty reading papers or using PNF in clinics without a background in statistical knowledge. Methods: We used PubMed to collect papers on international studies and we conducted a search on April 28, 2014. Keywords used for the PubMed search were "PNF" and "Proprioceptive Neuromuscular Facilitation". The search results identified 765 papers that had been published since 1954. To target the papers for review, we selected 66 papers, excluding papers that were not published in online journals and papers that were written in a second language. Results: The reviewed papers consisted of studies that addressed basic principles and procedures, combined with other interventions, including PNF stretching concepts, and other diseases with PNF concepts. The articles related to basic procedures and principles reported on optimal contraction intensity, patterns, and irradiation. The articles related to stretching and strengthening reported on stretching the hamstring muscles in healthy subjects, in combination with other interventions such as neuromobilization, clinical massage, kinesio taping, and water immersion. The articles related to specific diseases reported on stroke, low back pain, athletic injury, total knee replacement, etc. Conclusion: In the 66 articles reviewed for this study, there was little evidence that PNF has therapeutic value. However, in future research on the application of PNF, investigators could conduct a more in-depth analysis of this topic and present more objective and useful information on the therapeutic benefits of PNF.

A Study on Information Retrieval Effectiveness by Cited References (인용문헌에 의한 정보검색 효과에 관한 고찰)

  • Lee Lanju
    • Journal of the Korean Society for Library and Information Science
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    • v.27
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    • pp.265-289
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    • 1994
  • Databases publicly available for online searching permit both citation and subject searching, however, subject searching has dominated the online search environment. Despite the power of citation searching, it may be underutilized This study explored the relationship between the number of cited references used in a citation search and information retrieval effectiveness, a relatively unstudied phenomenon. Three articles in the library and information science literature were chosen to represent sample questions. Cited reference searches were conducted for each article and each of its references. All searches were conducted in Social Scisearch and Scisearch on DIALOG. Relevance judgments on the retrieved citations were obtained from the authors of the original articles. This research focused on analyzing, in terms of information retrieval effectiveness, the overlap among postings sets retrieved by various combinations of cited references. The findings from the three case studies clearly showed that the more cited references used for the citation search, the better the performance, in terms of retrieving more relevant documents, up to a point of diminishing retums. In addition, generally the overall level of overlap among relevant documents sets was found to be low. Therefore, if only some of the cited references among many candidates are used for a citation search, a significant proportion of relevant documents may be missed. The analysis of the characteristics of cited references provided the ways to predict which cited refereces would be useful to improve information retrieval. The findings of this comprehensive exploratory study are of interest for both theoretical and practical reasons. They contribute to the development of a theoretical model for the effective use of the citation search. This model might also be implemented in operational online systems. In addition, the findings potentially will help online searchers improve their search strategies using the citation search so that they can better achieve their information retrieval goals: the retrieval of items relevant to a given question and the suppression of nonrelevant items.

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Mining Association Rules from the Web Access Log of an Online News website (온라인 뉴스 웹사이트의 로그를 이용한 연관규칙 발견에 관한 연구)

  • Hwang, Hyunseok;Yoo, Keedong
    • Journal of Korea Society of Industrial Information Systems
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    • v.18 no.2
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    • pp.47-57
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    • 2013
  • Today a lot of functional areas of a firm are operated on the Web. Online shopping malls analyze web log recording customers' activities on the web to connect them to business outcomes. Not only commercial websites, but online news sites also need to collect and analyze web logs to understand their news readers' interest. However, little research has been performed yet. In this research we mined the web access log of an online news website and conduct Market Basket Analysis to uncover the association rules among the categories of news articles. The research is composed of two stages: 1) Identifying the individual session of a visitor; 2) Mining association rule from news articles read by each session. We gather 7-day access logs two times. The results of log mining and meanings of association rules are suggested with managerial implications in conclusion section.

Survey on Pharmacist's Awareness of E-commerce for Non-prescription Medicine (일반의약품의 전자상거래에 대한 약사의 인식도 고찰)

  • Park, Young-Dal;Bang, Joon Seok;Min, Young Sil;Sohn, Uy Dong
    • Korean Journal of Clinical Pharmacy
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    • v.26 no.2
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    • pp.137-149
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    • 2016
  • Objective: Online pharmacies were introduced in some countries such as United States of America or Canada. They can provide benefits to consumer because they can buy and take conveniently drugs without limitation of location or time. In Korea, online pharmacies are illegal and only pharmacists can sell drugs to consumers or patients. Therefore, we investigated the knowledge of online pharmacy and the possible problem in Korea to survey pharmacists. Methods: We developed questionnaire based on previous articles about online pharmacy and surveyed nation-wide pharmacists by mail or e-mail. The data was analyzed by SPSS and Microsoft Excel. P-values less than 0.05 were statistically significant. Results: 175 pharmacists involved in this study. About introduction of online pharmacies, 53.1% were opposition while 10.3% were approval and 36.6% were conditional. Although online pharmacies were introduced, 46.3% pharmacists do not have a plan to start online pharmacy. However, the approval and tends about starting online pharmacies were higher in younger pharmacists (20s, 30s) (p < 0.05). The criteria of permission about opening online pharmacies were 100% pharmacist license regardless of holding off-line pharmacy. 53.7% pharmacists responded education about taking medication is impossible. When online pharmacies are introduced, 65.1% pharmacists responded traditional pharmacies are affected negatively. Pharmacists concerned that the competition with large-sized distribution corporations, reduced reliance between pharmacists and patients, illegal transaction of counterfeit drugs, increased misuse of drugs. Conclusion: These results showed that Korea pharmacists have negative standard on online pharmacies. Therefore it is required to be more cautious before introducing online pharmacy and it need strict watching system and continuous education and study for safety after introducing online pharmacy.