• Title/Summary/Keyword: BIGKinds

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A Topic Analysis of Fine Particle Matter by Using Newspaper Articles (신문기사를 이용한 미세먼지 이슈의 토픽 분석)

  • Yang, Ji-Yeon
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.1-14
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    • 2022
  • This study aims to identify topics in newspaper articles related to fine particle matter and to investigate the characteristics and time series trend of each topic. Related national newspaper articles during 1990 and 2021 were collected from Bigkinds. A total of 18 topics have been discovered using LDA, and 11 clusters deduced from clustering. Hot topics include related products/residence, overseas cause(China), power plant as a domestic cause, nationwide emergency reduction measures, international cooperation, political issues, current situation & countermeasure in other countries, and consumption patterns. Cold topics include the concentration standard and indoor air quality improvement. These findings would be useful in inferring the political direction and strategies. In particular, the consumer protection policy should be expanded as the related market is growing. It will also be necessary to pursue policies that will promote public safety and health, and that will enhance public consensus and international cooperation.

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.

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.

A case study of Digital humanities lecture on Marcel Proust's À La Recherche du temps perdu (마르셀 프루스트의 『잃어버린 시간을 찾아서』에 대한 디지털인문학적 강의 운영 사례 연구)

  • Jinyoung MIN
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.269-275
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    • 2023
  • In 2021, the 150th anniversary of Proust's birth, and in 2022, the 100th anniversary of his death, the interest in À la recherche du temps perdu increased. We took advantage of a digital humanities approach to make these seven novels known as difficult easily accessible to French literature major korean students. We let the students analyze using the analyzing tools for the big data and find some clues to understand the works through the visualized data. We picked out the main characters and places that appear in his works with Wordcloud, and checked the awareness of Proust in domestic and foreign through the various sites to analyze the big data, such as Big Kinds and Textom. Through the methodology of digital humanities, the students commented that they have gradually enlarged their understanding breadth for Proust's 『In Search of Lost Time』 rather than giving up it as difficult. This study confirmed that applying the big data analysis and digital humanities is an appropriate teaching method in finding ways for the students to broaden the understanding of French literature.

An Analysis of Domestic Newspaper Articles on 5.18 using the Bigkinds System (빅카인즈를 활용한 5·18 관련 국내 기사 분석 연구)

  • Juhyeon Park;Hyunji Park;Youngbum Gim
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.107-132
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    • 2024
  • This study attempted to analyze newspaper articles related to May 18 through frequency analysis and network analysis using news data related to May 18 for about 30 years from 1990 to 2022 at the Korea Press Foundation's Big Kinds. Specifically, quantitative change trends were examined by analyzing the amount of articles by period and region, and the connection structure between major keywords by the regime was explored through network analysis by regime using co-appearance keywords. As a result of the analysis, it was found that 2019 had the largest amount of coverage, which had many social issues in time, and the Jeolla-do region had the largest amount of coverage in the region. And as a result of network analysis, there were differences in words related to May 18 in news data according to the perception and policy of the regime toward May 18. As a result of synthesizing the analysis of May 18 news data, it was confirmed that May 18 was becoming a democratic movement over time regardless of region, but at the same time, the distortion of May 18 was not resolved.

Distribution Information Technology Investment and the Market Value of the Firm : Focusing on RFID case (한국에서 유통정보기술 투자가 주가에 미치는 영향에 관한 연구 : RFID 사례를 중심으로)

  • Son, Sam-Ho
    • Journal of Distribution Science
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    • v.16 no.10
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    • pp.65-76
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    • 2018
  • Purpose - This paper investigates how the market value of the firms are impacted by distribution information technology investment in Korea over time and across markets, industries and project characteristics. This is the first empirical study on the market payoffs from the RFID investment in Korea. The purpose of this study is to provide a appropriate guideline for investors and practitioners with respect to the announcement representing RFID adoption in Korea. This reaction guideline will stimulate the practitioners to monitor and evaluate the benefits and costs of the innovative RFID technology. Research design, data, and methodology - This paper employs event study methodology to analyze the payoffs from distribution information technology investment announcements over a fifteen-year period from 2003 to 2017. Event study method is based on the assumptions such as market efficiency, unanticipated RFID invest announcements and no confounding effects in the data. This study collected the information on RFID investment announcements by using a full text search engine Bigkinds provided by Korea Press Foundation over a fifteen-year period from January 2003 through December 2017. This paper selected 88 announcements representing RFID adoption by 46 firms. This paper estimated the payoffs from RFID investment announcement through events windows by using the market model of Mcwilliams and Siegel (1997) and calculated the Z-values. Using this test statistics we could infer if RFID adoption make large differences in abnormal returns across various classifications of the firms. Results - There is significant positive market returns from the announcement representing distribution information technology investment in the pre-2009 time period, the significances of payoffs disappear in the post-2009 time period. For this reason investors or practitioners can understand the importance of market entry time and the fact that the greater rewards may belong to early innovators while late imitators cannot reap such a rewards. This paper also find that there is a large differences in the payoffs from the announcement across markets, industries and project characteristics. Conclusions - Analysing the selected sample of 88 announcements representing RFID Adoption over fifteen-year period from 2003 to 2017, this study find that there is not only significant abnormal excess returns from RFID investment announcements but also there is great differences in the abnormal returns over time and across firm sizes or affiliated markets, industries, and project characteristics. This means that there are considerable values for the investors across various firm classifications. The findings of this paper provide useful implications for the practitioners to make judicious decisions whether to adopt the innovative technologies in general or not considering the various concrete circumstances in Korea.

The Direction of Innovation in Curriculum of Universities in the Fourth Industrial Revolution

  • Hwang, Eui-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.11
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    • pp.229-238
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    • 2020
  • Upcoming 4th industrial revolution era and the post-covid19 made procedure, contents, and the ways of education innovative changes. Thesis analyzed the changes of educational procedures of universities unsing Bigkinds of 'KPF', (which is Korea Press Foundation) and DataLab system of 'Naver'. The following three results were derived from relational analysis, monthly keyword trend, and related word analysis with 633 cases searched for the keyword of "university curriculum innovation, creativity, and convergence." Firstly, the frequency of relationship keyword analysis of recent 4 years(2016~2020) was ministry of education(190), industrial revolution(154), system(137), career(136), global(131), smart(97), and enrolled students(95) in order. Secondly, The frequency of keywords related to the related words was Human Resources Development (136), Industrial-Academic Cooperation (119), Education Ministry (86), Specialization (69), and LiNC (62), which showed the importance of supporting the government (Ministry of Education) and fostering human resources, industry-academic cooperation, LiNC, and characterization in order to foster human resources in universities. According to this study, the paradigm of education is the artificial intelligence environment of the fourth industrial revolution, which is meaningful in presenting the direction of specialization, industry-academic cooperation, smart, and globalization, and the future direction of education that fosters creative talent in the era of the fourth industrial revolution.

A Study on the Effects of Livestock Disease News on the Purchase of Beef and Pork (축산 질병 보도가 소, 돼지고기 구입에 미치는 영향에 관한 연구)

  • Shin, Jeong-Seop
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.425-432
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    • 2019
  • This study examined the effects of livestock disease news, such as foot-and-mouth disease (FMD), collected by the Korea Press Foundation on BIGKinds on the consumption of beef and pork. The consumer purchase data were obtained from the Rural Development Administration's Agrifood consumer panel data. Survival analysis showed that the FMD news noted beef and pork, and the first purchase rate decreased due to FMD news. The time-dependent Cox proportional hazards model revealed all models to be significant. FMD news was significant in each model. In 2010, the Hazard Ratio of domestic and imported pork was 0.999, and the first purchase rate decreased 0.999 times for each additional FMD news item. On the other hand, the Hazard Ratio of pork in 2015 was 1.001, and the first purchase rate increased. In the case of beef, results similar to pork were shown. This study estimated the impact of consumer meat consumption disease news on the first purchases according to origin and meat. These results provide the necessary information for rational production and consumption activities. In addition, it can also be used for promotion by estimating the duration of livestock disease news.

Trend Analysis of Corporate Sustainability Management Strategies of Construction Contractors in Korea (국내 건설기업의 지속가능경영 전략 트렌드 분석에 관한 연구)

  • Kim, Jae Wook;Kim, Han Soo
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.3
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    • pp.54-63
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    • 2019
  • Corporate Sustainability Management (CSM) is management approach and strategies that have grown in importance in recent years. and it is becoming increasingly important to organizations in every industry including the construction industry as well. It is important to establish and continuously manage and improve the strategies at the industrial and enterprise level and also to understand their trend. The most practical way to understand the overall sustainability management strategies and trend of construction companies is to analyze the sustainability management report of representative construction companies and to derive keywords for sustainability management, and then analyzed them using big data. The objective of the study is to analyze the trend of CSM strategies of Korean contractors in terms of key characteristics and implications by big data analysis employing keywords identified in the CSM reports of five major contractors in the Korean construction industry. Understanding the sustainable management strategy trend of construction companies has important significance in terms of being able to find out the issues that the construction industry and construction companies should focus on in order to pro-actively prepare for the future.

The Analysis of Changes in East Coast Tourism using Topic Modeling (토핑 모델링을 활용한 동해안 관광의 변화 분석)

  • Jeong, Eun-Hee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.6
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    • pp.489-495
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    • 2020
  • The amount of data is increasing through various IT devices in a hyper-connected society where the 4th revolution is progressing, and new value can be created by analyzing that data. This paper was collected total 1,526 articles from 2017 to 2019 in central magazines, economic magazines, regional associations, and major broadcasting companies with the keyword "(East Coast Tourism or East Coast Travel) and Gangwon-do" through Bigkinds. It was performed the topic modeling using LDA algorithm implemented in the R language to analyze the collected 1,526 articles. It was extracted keywords for each year from 2017 to 2019, and classified and compared keywords with high frequency for each year. It was setted the optimal number of topics to 8 using Log Likelihood and Perplexity, and then inferred 8 topics using the Gibbs Sampling method. The inferred topics were Gangneung and Beach, Goseong and Mt.Geumgang, KTX and Donghae-Bukbu line, weekend sea tour, Sokcho and Unification Observatory, Yangyang and Surfing, experience tour, and transportation network infra. The changes of articles on East coast tourism was was analyzed using the proportion of the inferred eight topics. As the result, the proportion of Unification Observatory and Mt. Geumgang showed no significant change, the proportion of KTX and experience tour increased, and the proportion of other topics decreased in 2018 compared to 2017. In 2019, the proportion of KTX and experience tour decreased, but the proportion of other topics showed no significant change.