• Title/Summary/Keyword: News Article

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Forecasting the BDI during the Period of 2012 (2012 BDI의 예측)

  • Mo, Soo-Won
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.1-11
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    • 2011
  • In much the same way as the US Lehman crisis of 2008-2009 severely impacted the European economy through financial market dislocation, a European banking crisis would materially impact the US economy through a generalized increase in global risk aversion. A deepening of the European crisis could very well derail the US economic recovery and have a harmful impact on the Asian economies. This kind of vicious circle could be a bad news to the shipping companies. The purpose of the study is to predict the Baltic Dry Index representing the shipping business during the period of 2012 using the ARIMA-type models. This include the ARIMA and Intervention-ARIMA models. This article introduces the four ARIMA models and six Intervention-ARIMA models. The monthly data cover the period January 2000 through October 2011. The out-of-sample forecasting performance is also calculated. Forecasting performance is measured by three summary statistics: root mean squared percent error, mean absolute percent error and mean percent error. The root mean squared percent errors, however, are somewhat higher than normally expected. This reveals that it is very difficult to predict the BDI The ARIMA-type models show that the shipping market will be bearish in 2012. These pessimistic ex-ante forecasts are supported by the Hodrick-Prescott filtering technique.

Topic Model Analysis of Research Trend on Renewable Energy (신재생에너지 동향 파악을 위한 토픽 모형 분석)

  • Shin, KyuSik;Choi, HoeRyeon;Lee, HongChul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.6411-6418
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    • 2015
  • To respond the climate change and environmental pollution, the studies on renewable energy policies are increasing. The renewable energy is a new growth engine technology represented by the green industry and green technology. At present, the investments for the renewable energy supply and technology development projects of three main strategy sectors such as sunlight, wind power and hydrogen fuel cell are implemented in our country, while they are still in the early stage, accordingly reducing those uncertainty for the research direction and investment fields is the most urgent issue among others. Thus, this study applied text mining method and multinominal topic model among the big data analysis methods on our country's newspaper articles concerning the renewable energy over the last 10 years, and then analyzed the core issues and global research trend, forecasting the renewable energy fields with the growth potential. It is predicted that these results of the study based on information and communication technology will be actively applied on the renewable energy fields.

TRIB : A Clustering and Visualization System for Responding Comments on Blogs (TRIB: 블로그 댓글 분류 및 시각화 시스템)

  • Lee, Yun-Jung;Ji, Jung-Hoon;Woo, Gyun;Cho, Hwan-Gue
    • The KIPS Transactions:PartD
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    • v.16D no.5
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    • pp.817-824
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    • 2009
  • In recent years, Weblog has become the most typical social media for citizens to share their opinions. And, many Weblogs reflect several social issues. There are many internet users who actively express their opinions for internet news or Weblog articles through the replying comments on online community. Hence, we can easily find internet blogs including more than 10 thousand replying comments. It is hard to search and explore useful messages on weblogs since most of weblog systems show articles and their comments to the form of sequential list. In this paper, we propose a visualizing and clustering system called TRIB (Telescope for Responding comments for Internet Blog) for a large set of responding comments for a Weblog article. TRIB clusters and visualizes the replying comments considering their contents using pre-defined user dictionary. Also, TRIB provides various personalized views considering the interests of users. To show the usefulness of TRIB, we conducted some experiments, concerning the clustering and visualizing capabilities of TRIB, with articles that have more than 1,000 comments.

Articles Published about Korean Turco-Tatars in the Magazine Yanga Yapon Muhbiri (New Japanese Courier)

  • DUNDAR, A. MERTHAN
    • Acta Via Serica
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    • v.3 no.2
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    • pp.181-196
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    • 2018
  • In Turkey, academic studies on Korea are mostly focused on the Korean war and Korean language and literature. Conversely, in Korea, it seems that academic studies are largely focused on old Turkic history and Turkish language and literature. Unfortunately, on both sides, there is not a satisfiying number of studies on the Turkic diaspora in Korea. However, it is a reality that there was a Turco-Tatar group that lived in Korea at the time of the Japanese occupation between the two world wars. This group became Turkish subjects after World War II and became a bridge between Korea and Turkey. After the Russian revolution, around 1919, some Turco-Tatar groups like the Bashkir and the Misher emigrated to East Asia like the Manchuria region of China and Korea. Beginning from the 1920s, some families moved to Japan, but a group of Turco-Tatar stayed in Korean cities like Seoul (Keijo), Pusan and Daegu. The Turco-Tatar groups of East Asia established schools and mosques in Seoul, Korea; Harbin, Manchuria; Kobe, Nagoya; and Tokyo in Japan. A Moslem printing house (Matbaa-i ${\dot{I}}slamiye$) was also established in Tokyo in the 1930s. Many books, a newspaper and a magazine were published by this printing house. The name of the magazine was Yanga Yapon Muhbiri(New Japanese Courier), and it survived between 1931 and 1938. In this magazine, there were many interesting news and data about Korea and the Turco-Tatars of Korea. In this short article, we will try to bring out the importance of this magazine by giving samples of the articles which were written on the Turco-Tatar diaspora in Korea.

Analysis of digital marketing strategies of luxury fashion brands (럭셔리 패션 브랜드의 디지털 마케팅 전략 분석)

  • Park, Jisoo;Rhee, Young Ju
    • Journal of the Korea Fashion and Costume Design Association
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    • v.23 no.1
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    • pp.87-102
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    • 2021
  • The purpose of this study is to consider effective digital marketing strategies through analysis of luxury fashion brands. This study conducted both quantitative analysis and case studies of the brands Louis Vuitton, Gucci, Burberry, and Chanel. To measure the brand image of the luxury fashion brands, the survey was distributed to Millennials, and total of 277 responses were used for the final analysis by using SPSS 25.0 statistical program. Other than survey, this paper analyzed digital marketing strategies of luxury fashion brands through brand-related papers, website and social media of each brand, Samsung Designnet's database, and news posted on search engines. The results of this study are as follows: First, according to the result of examining brand image of luxury fashion brands, there was no significant difference between brands, except Gucci. Second, this study analyzed each luxury fashion brand to understand the characteristics of digital marketing, and common characteristics were identified. Third, by analyzing the brand image and digital marketing strategies of luxury fashion brands, it was confirmed that Gucci's brand image and digital marketing strategies were consistent, while there was a difference between Burberry's brand image and digital marketing strategy. Therefore, this article proposes the following digital marketing strategies that are suitable for luxury fashion brands. First, is the connection of on/offline channels. Second, is the use of AI technology. Third, is a blockchain-based platform.

Current Issues with the Big Data Utilization from a Humanities Perspective (인문학적 관점으로 본 빅데이터 활용을 위한 당면 문제)

  • Park, Eun-ha;Jeon, Jin-woo
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.125-134
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    • 2022
  • This study aims to critically discuss the problems that need to be solved from a humanities perspective in order to utilize big data. It identifies and discusses three research problems that may arise from collecting, processing, and using big data. First, it looks at the fake information circulating with regard to problems with the data itself, specifically looking at article-type advertisements and fake news related to politics. Second, discrimination by the algorithm was cited as a problem with big data processing and its results. This discrimination was seen while searching for engineers on the portal site. Finally, problems related to the invasion of personal related information were seen in three categories: the right to privacy, the right to self-determination of information, and the right to be forgotten. This study is meaningful in that it points out the problems facing in the aspect of big data utilization from the humanities perspective in the era of big data and discusses possible problems in the collection, processing, and use of big data, respectively.

Analysis of the different of Interest words between Korea and Vietnam using network theory - Focusing on smart city (네트워크 이론을 이용한 한국과 베트남의 관심어 차이 분석 - 스마트시티를 중심으로)

  • Jeong, Seong Yun;Kim, Nam Gon
    • Smart Media Journal
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    • v.11 no.8
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    • pp.73-83
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    • 2022
  • In order to support new construction engineering companies with weak information power to successfully advance into the overseas construction market, this study tried to analyze what are the keywords of interest in the overseas construction market and how they differ from Korea. For this purpose, we recently collected 2,473 news article titles and major articles targeting smart cities that are of high interest in Korea and Vietnam. Through network configuration and topic modeling, we examined the connection relationship between the word of interest and the word of interest. In addition, the influence of the word of interest in the network was measured using PageRank centrality. Through this analysis, it was found that there is a high interest in smart city-related construction, cities, and digital in both countries, and the difference in terms of interest between Korea and Vietnam was inferred. Finally, the limitations of this study and additional research directions to complement them are presented.

Distance Learning for Higher Education Applicants in War: Information Competence

  • Hanna, Truba;Iryna, Radziievska;Mykhailo, Sherman;Nataliia, Morska;Alla, Kulichenko;Nataliia, Havryliuk
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.291-297
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    • 2022
  • Modern challenges in the educational environment force scientists and practitioners to search for an adequate answer. In particular, the war in Ukraine demonstrated the importance of developing information competence as one of the main means of distinguishing true information from a whole stream of fake news. This is especially relevant in connection with the introduction of distance learning when students must find and process a large amount of information on their own. Therefore, the purpose of the article is to analyze the training of higher education students through the prism of acquiring the necessary level of informational competence in war conditions. For this, general scientific and special research methods, as well as the experimental method, were used. In the results, the peculiarities of the interpretation of information competence in the distance form of education among modern researchers are determined, the psychological components of resistance to fakes are analyzed. Based on the conducted empirical measurements, it was established that thorough work on student education gives positive skills when working independently with Internet materials, strengthens the ability to distinguish false information and propaganda from the real state of affairs. The conclusions summarize the results of the empirical research and suggest ways to improve the situation with the formation of information competence.

Big data text mining analysis to identify non-face-to-face education problems (비대면 교육 문제점 파악을 위한 빅데이터 텍스트 마이닝 분석)

  • Park, Sung Jae;Hwang, Ug-Sun
    • Korean Educational Research Journal
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    • v.43 no.1
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    • pp.1-27
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    • 2022
  • As the COVID-19 virus became prevalent worldwide, non-face-to-face contact was implemented in various ways, and the education system also began to draw much attention due to rapid non-face-to-face contact. The purpose of this study is to analyze the direction of non-face-to-face education in line with the continuously changing educational environment to date. In this study, data were visualized using Textom and Ucinet6 analysis tool programs to collect social network big data with various opinions. As a result of the study, keywords related to "COVID-19" were dominant, and keywords with high frequency such as "article" and "news" existed. As a result of the analysis, various issues related to non-face-to-face education, such as network failures and security issues, were identified. After the analysis, the direction of the non-face-to-face education system was studied according to the growth of the education market and changes in the educational environment. In addition, there is a need to strengthen security and feedback on teaching methods in non-face-to-face education analyzed using big data.

Why Are People Wearing Masks When They Are Relieved of Their Obligation? -Choosing Under Uncertainty by News Big Data Analysis (착용 의무 해제에도 마스크를 쓰는 이유 -뉴스 빅데이터 분석으로 확인한 불확실성하의 선택)

  • Ki-Ryang Seo;SangKhee Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.113-119
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    • 2023
  • Despite the lifting of the mandatory wearing of masks, which was the main tool of the COVID-19 quarantine policy, we paid attention to the fact that some people are still wearing masks, and we wanted to clarify why people do not take off their masks. Through a survey in this regard, we were able to ascertain why some people continue to wear masks in a broader context. In this article, we directly and indirectly confirm the hidden side of citizens' continued wearing of masks by analyzing how the lifting of the mask-wearing obligation was reported in media articles that have a significant impact on citizens' behavior and attitude. Through this, it was confirmed that citizens continue to wear masks to protect themselves in an uncertain situation where the COVID-19 endemic has not been declared, despite the quarantine authorities' announcement of lifting the mandatory wearing. In a situation where crises such as COVID-19 are expected to repeat frequently in the future, it was concluded that it is important to build trust in the quarantine authorities.