• Title/Summary/Keyword: Bigkinds

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News Big Data Analysis of Media Companies related to Lifelong Education for the Disabled (장애인 평생교육 관련 언론사 뉴스 빅데이터 분석)

  • Kwon, Choong-Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.183-184
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    • 2022
  • 본 연구는 장애인 평생교육 관련 언론사 뉴스 빅데이터를 한국언론재단의 빅카인즈(BIGKinds) 시스템을 이용하여 분석하였다. 본 연구에서는 2000년 1월 1일부터 2020년 12월 31일까지 20년간, 총 54개 언론사에서 보도한 '장애인 평생교육' 관련 뉴스 기사들을 추출하였다. 그 분석대상 뉴스 빅데이터를 대상으로 키워드 트렌드 분석, 언어 네트워크 지도 구현, 연관어 분석(워드클라우드 제시) 등을 진행하였다. 본 연구 결과는 장애인 평생교육 관련 정책 입안 연구 및 실증적인 연구(평생교육 참여 요인 및 효과 등)의 기초자료로 활용될 수 있을 것으로 기대된다.

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Study of major issues and trends facing ports, using big data news: From 1991 to 2020 (뉴스 빅데이터를 활용한 항만이슈 변화연구 : 1991~2020)

  • Yoon, Hee-Young
    • Journal of Korea Port Economic Association
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    • v.37 no.1
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    • pp.159-178
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    • 2021
  • This study analyzed issues and trends related to ports with 86,611 news articles for the 30 years from 1991 to 2020, using BIGKinds, a big data news analysis service. The analysis was based on keyword analysis, word cloud, relationship diagram analysis offered by BIG Kinds. Analysis results of issues and trends on ports for the last 30 years are summarized as follows. First, during Phase 1 (1991-2000), individual ports such as Busan, Incheon, and Gwangyang ports tried to strengthen their own competitiveness. During Phase 2 (2001-2010), efforts were made on gaining more professional and specialized port management abilities by establishing the Busan Port Authority in 2004, the Incheon Port Authority in 2005, and the Ulsan Port Authority in 2007. During Phase 3 (2011-2020), the promotion of future-oriented, eco-friendly, and smart ports was major issues. Efforts to reduce particulate matters and pollutants produced from ports were accelerated, and an attempt to build a smart port driven by port automation and digitalization was also intensified. Lastly, in 2020, when the maritime sector was severely hit by the unexpected shock of the COVID-19 pandemic, a microscopic analysis of trends and issues in 2019 and 2020 was made to look into the impact the pandemic on the maritime industry. It was found that shipping and port industries experienced more drastic changes than ever while trying to prepare for a post-pandemic era as well as promoting future-oriented ports. This study made policy suggestions by analyzing port-related news articles and trends, and it is expected that based on the findings of this research, further studies on enhancing the competitiveness of ports and devising a sustainable development strategy will follow through a comparative analysis of port issues of different countries, thereby making further progress toward academic research on ports.

Exploratory Big Data Analysis of Albert Camus's La Peste in Post Corona era (포스트 코로나 시대 알베르 카뮈의 『페스트』에 관한 탐색적 빅데이터 분석)

  • MIN, Jinyoung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.1
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    • pp.432-438
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    • 2021
  • This dissertation's object is to confirm the drastic popularity of La Peste of Albert Camus in Korea post-corona society using big data as the mean of inductive research. Analyzing news articles concerning Camus and investigating word frequency of the book La Peste will affirm the implications La Peste has on current Korea society as the outbreak spreads. As an analysis tool, Bigkinds of Korea Press Foundation and Nuagedemots, the French version of Word Cloud were used. For the past 30 years, Albert Camus has been known in Korea as the writer of L'étranger, but after the epidemic, he earned more reputation with La Peste. Compared to L'étranger that rebelled against the world's absurdity with ennui, La peste emphasizes the importance of resistance accompanied by solidarity. La peste conveys hope by depicting disastrous situations of citizens who confront the plague by organizing a health college. The novel delivers a lot of ethical inspiration to humanity in this exceptional circumstance of COVID-19.

Analyzing Global Startup Trends Using Google Trends Keyword Big Data Analysis: 2017~2022 (Google Trends 의 키워드 빅데이터 분석을 활용한 글로벌 스타트업 트렌드 분석: 2017~2022 )

  • Jaeeog Kim;Byunghoon Jeon
    • Journal of Platform Technology
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    • v.11 no.4
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    • pp.19-34
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    • 2023
  • In order to identify the trends and insights of 'startups' in the global era, we conducted an in-depth trend analysis of the global startup ecosystem using Google Trends, a big data analysis platform. For the validity of the analysis, we verified the correlation between the keywords 'startup' and 'global' through BIGKinds. We also conducted a network analysis based on the data extracted using Google Trends to determine the frequency of searches for the keyword or term 'startup'. The results showed a strong positive linear relationship between the keywords, indicating a statistically significant correlation (correlation coefficient: +0.8906). When exploring global startup trends using Google Trends, we found a terribly similar linear pattern of increasing and decreasing interest in each country over time, as shown in Figure 4. In particular, startup interest was low in the range of 35 to 76 from mid-2020 due to the COVID-19 pandemic, but there was a noticeable upward trend in startup interest after March 2022. In addition, we found that the interest in startups in each country except South Korea is very similar, and the related topics are startup company, technology, investment, funding, and keyword search terms such as best startup, tech, business, invest, health, and fintech are highly correlated.

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The Reproduction of the class in games and The direction of regulation of Game Hack - Focusing on the Online FPS game 'Overwatch' and 'Battleground' communities - (게이머 계급의 재생산과 게임 핵의 규제 방향성 - 온라인 FPS 게임 '오버워치'와 '배틀그라운드' 커뮤니티를 중심으로 -)

  • Jo, Hui-Seon
    • Journal of Korea Game Society
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    • v.21 no.2
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    • pp.3-16
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    • 2021
  • This study examined to the aspects of capital and class structure, focusing on 'Reproduction' of Bourdieu, P, through collecting the post titles of the game community of online FPS games 'Overwatch' and 'Battleground', related to keyword, 'Game Hack'. The data used in the study was collected and refined through the statistical program R and analyzed by the analysis site 'Bigkinds'. At results, we will reveal that the class structure of the online FPS gamer group is based on cultural capital and reproduction, and suggest the right direction for the Game Hack regulation policy from the point of view of the cultural capital theory.

A Trend Analysis of Changes in Housework due to Technological Innovation and Family Change

  • LEE, Hyun-Ah;KWON, Soonbum
    • East Asian Journal of Business Economics (EAJBE)
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    • v.10 no.1
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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.

A Study on the Usage of Hanbok Terms -Comparing Academic and Journalistic Fields- (한복 용어 출현 양상에 대한 연구 -학술연구분야와 언론분야의 비교를 중심으로-)

  • Joonyoung Shim
    • Journal of Fashion Business
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    • v.27 no.4
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    • pp.115-124
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    • 2023
  • This study reviewed hanbok terms emerging in academic research and media fields to conceptualize hanbok terms. Terms of hanbok were collected through RISS and Bigkinds by field. Results of textming using Textom were as follows. First, a total of 17 hanbok terms appeared in the field of academic research and a total of 41 hanbok terms appeared in the field of media, showing a difference. Fourteen terms, including hanbok, traditional hanbok, traditional clothing, daily hanbok, modernized hanbok, fashion hanbok, fusion hanbok, Shinhanbok, ready-made hanbok, luxury hanbok, women's hanbok, and children's hanbok, were hanbok terms that appeared in both academic and media fields. Second, the appearance of hanbok terms was examined based on five terms: traditional hanbok, daily hanbok, modernized hanbok, fusion hanbok, and Shinhanbok, which differed in the appearance of hanbok terms between academic research and media. Traditional hanbok and daily hanbok terms steadily appeared in both academic research and media, with modernized hanbok and fusion hanbok appearing mainly in the media and Shinhanbok in the academic research fields. Results of this studys confirmed that there were differences in terms of hanbok used between academic research and media fields.

Trends of South Korea's Informatization and Libraries' Role Based on Newspaper Big Data (신문 빅데이터를 바탕으로 본 국내 정보화의 경향과 도서관의 역할)

  • Na, Kyoungsik;Lee, Jisu
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.14-33
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    • 2018
  • The purpose of this study to analyze the informatization trends in Korea through objective newspaper data for the period from 1998 to 2017 for informatization and library in four newspapers including KyoungHyang Newspaper, Kookmin Ilbo, Hankyoreh and Hankookilbo. Based on the analysis results of metadata and related words using BIGKinds, a news big data system, this study presented analysis of simple frequency, classification and classification of the keywords 'information', 'informatization' and 'library'. Based on the results, we compared and analyzed the tendency of informatization in the media through comparison with the 'Information White Paper' which is the publication of government agencies and with research about the research topic of 4 academic journals in the Library and Information Science field. This study tried to interpret the trends of informatization based on the media and it is meaningful that we analyzed the big data of newspaper article which is the long term and time series data. Based on the results of the study, implications of the growth and development of libraries with domestic informatization were suggested. It is expected that we will be able to create a basic framework for developing library informatization policy through the further studies.

An Analysis on the Media Reports Frames regarding Special Naturalization of Foreign Athletes (외국인 운동선수 특별귀화 관련 언론보도 프레임 분석)

  • Lee, Jangwon;Lim, Seungyup
    • Journal of the Korea Convergence Society
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    • v.8 no.3
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    • pp.295-306
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    • 2017
  • The purpose of the study was to explore media frames and its contents regarding foreign athletes' naturalization to Korea. For data, 101 media reports from the year of 2014 to 2016 were collected and analyzed. As results, in the simple-fact-report frame, facts regarding foreign athletes' naturalization process and results of the matches were reported. In the economic frame, legitimacy of the naturalization was supported by emphasizing its benefits. In the humane-interest frame, personal history and difficulty as foreign athletes were described. In the conflict frame, negative effects by the foreign athletes' naturalization were mainly reported.. In the morality/responsibility attribution frame, Chelsey Lee's document forgery case was mostly highlighted that later issued naturalized athletes' morality and following legal actions.

A Big Data Analysis of the News Trends on Wireless Emergency Alert Service (뉴스 빅데이터를 활용한 재난문자 뉴스 게재 경향 분석)

  • Lee, Hyunji;Byun, Yoonkwan;Chang, Sekchin;Choi, Seong Jong;Oh, Seunghee;Lee, Yongtae
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.726-734
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    • 2019
  • This study investigates the number of news and correlated keywords concerning to Korean Wireless Emergency Alert(KWEA). The news was collected using BIGKinds, a news big data system provided by the Korea Press Foundation. When analyzing the annual published news articles, we investigated the frequency of the news grouped by disaster types, and the frequency of the news distinguishing between the earthquake and non-earthquake disasters, and finally the frequency of correlated keywords concerning to the disasters. We found that the KWEA news totaled 182 in 2016 due to the unprecedented powerful KyongJu earthquake, an increase of 20 times over the previous year. Ever since 2016, the news about the KWEA continued to hit high figures consistently. After the peak in KyongJu earthquake in 2016, the proportion of non-earthquakes had also increased in 2017 and 2018. Next, the keyword correlation analysis showed that the KWEA news gave major coverage to the following entities: The Ministry of the Interior and Safety which operates the KWEA, Korea Meteorological Administration, and the general public.