• Proceedings of The KACE
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• 2018.08a
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• pp.139-141
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• 2018

국제사회의 평균 연령이 높아짐과 동시에 시니어의 인터넷 이용률이 증가하면서 시니어 세대를 위한 서비스 및 맞춤형 콘텐츠 제공이 필요한 실정이다. 시니어의 경우 신체 및 인지 능력 감소로 글을 읽는 능력이 저하되고, 이로 인해 온라인으로 제공되는 뉴스 콘텐츠를 정확히 이해하지 못하는 현상이 발생한다. 따라서 본 연구에서는 뉴스의 형태를 구성하는 요소를 정의하여, 시니어의 인지 반응 측정 데이터를 기반으로 한 개인 맞춤형 뉴스 형태 추천 시스템을 제안한다.

• Industrial Engineering and Management Systems
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• v.3 no.1
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• pp.85-91
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• 2004

The writing styles of TIME and Newsweek are analyzed using a specially developed linguistic program. These two news magazines were chosen because of their wide popularity. As for the results, it became obvious that both the frequency curve of words and that of characters have not changed for the past 60 years. Also, we have found that the frequency curves have some inflection points and that the genre of English writings can be identified by these points. After counting the percentage of required vocabulary for junior high school students and high school students in English writings, we can derive the relative difficulties of them using fuzzy reasoning. Fuzzy rules are constructed using features of the characteristic curves. We feel it would be a good guide index when selecting textbooks or supplementary readers.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.384-387
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• 2018

SNS가 급속도로 확산되며 거짓 정보를 언론으로 위장한 형태인 가짜뉴스는 큰 사회적 문제가 되었다. 본 논문에서는 이를 해결하기 위해 한글 가짜뉴스 탐지를 위한 딥러닝 모델을 제시한다. 기존 연구들은 영어에 적합한 모델들을 제시하고 있으나, 한글은 같은 의미라도 더 짧은 문장으로 표현 가능해 딥러닝을 하기 위한 특징수가 부족하여 깊은 신경망을 운용하기 어렵다는 점과, 형태소 중의성으로 인한 의미 분석의 어려움으로 인해 기존 오델들을 적용하기에는 한계가 있다. 이를 해결하기 위해 얕은 CNN 모델과 음절 단위로 학습된 단어 임베딩 모델인 'Fasttext'를 활용하여 시스템을 구현하고, 이를 학습시켜 검증하였다.

• Journal of Korea Multimedia Society
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• v.22 no.2
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• pp.250-259
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• 2019

Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.1779-1784
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• 2016

Background: Western physicians tend to favour complete disclosure of a cancer diagnosis to the patient, while non-Western physicians tend to limit disclosure and include families in the process; the latter approach is prevalent in clinical oncology practice in India. Few studies, however, have examined patient preferences with respect to disclosure or the role of family members in the process. Materials and Methods: Structured interviews were conducted with patients (N=127) in the medical oncology clinic of a tertiary referral hospital in Bangalore, India. Results: Patients ranged in age from 18-88 (M=52) and were mostly male (59%). Most patients (72%) wanted disclosure of the diagnosis cancer, a preference significantly associated with higher education and English proficiency. A majority wanted their families to be involved in the process. Patients who had wanted and not wanted disclosure differed with respect to their preferences regarding the particulars of disclosure (timing, approach, individuals involved, role of family members). Almost all patients wanted more information concerning their condition, about immediate medical issues such as treatments or side effects, rather than long-term or non-medical issues. Conclusions: While most cancer patients wanted disclosure of their disease, a smaller group wished that their cancer diagnosis had not been disclosed to them. Regardless of this difference in desire for disclosure, both groups sought similar specific information regarding their cancer and largely favoured involvement of close family in decision making. Additional studies evaluating the influence of factors such as disease stage or family relationships could help guide physicians when breaking bad news.

• Smart Media Journal
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• v.10 no.2
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• pp.38-47
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• 2021

This study analyzed media reports on the Address of Things, which are being introduced through the amendment of related law and pilot projects. The titles and its texts in the media's reports were collected by searching for 'Address of Things' on the Naver News Platform. Then, we analyzed the corpus using by topic modeling and network analysis. As a result, there were four topics: 'Promotion of the address of things system', Proof of assigning Address of Things', 'Improvement of usage of the Roadname Address Systems', and 'Education and public relation for the address activation'. It was confirmed that the topic 'Proof of assigning Address of Things' was the main agenda. We presented some implication by comparing the results with the 「3rd Basic Plan for Address Policy (2018-2022)」 of the Ministry of Public Administration and Security.

• Journal of Sport and Applied Science
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• v.8 no.1
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• pp.11-17
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• 2024

Purpose: The purpose of the study was to understand a trend of esports in terms of gamers' and fans' perceptions toward esports using social big data. Research design, data, and methodology: In this study, researchers first selected keywords related to esports. Then a total of 10,138 buzz data created at twitter, Facebook, news media, blogs, café and community between November 10, 2022 and November 19, 2023 were collected and analyzed with 'Textom', a big data solution. Results: The results of this study were as follows. Firstly, the news data's main articles were about competitions hosted by local governments and policies to revitalize the gaming industry. Secondly, As a result of esports analysis using Textom, there was a lot of interest in the adoption of the Hangzhou Asian Games as an official event and various esports competitions. As a result of the sentiment analysis, the positive content was related to the development potential of the esports industry, and the negative content was a discussion about the fundamental problem of whether esports is truly a sport. Thirdly, As a result of analyzing social big data on esports and the Olympics, there was hope that it would be adopted as an official event in the Olympics due to its adoption as an official event in the Hangzhou Asian Games. Conclusions: There was a positive opinion that the adoption of esports as an official Olympic event had positive content that could improve the quality of the game, and a negative opinion that games with actions that violate the Olympic spirit, such as murder and assault, should not be adopted as an official Olympic event. Further implications were discussed.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.1
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• pp.247-261
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• 2004

According to several researches and news reports on the lottery system for a school entrance, the private education fee, lower quality of education and classroom crisis at our real education settings are serious. The author analyses that those problems are not because of the lottery system for a school entrance itself, because of not changing the lecturing to all the students in a class into proper teaching and learning method for school condition regards to the lottery system changed 30 years ago. The lottery system makes that the different levels of students are in one class. The author recommends changing the general lecturing into the teaching and learning method by using the information processing models which are made for individual study. She also interprets the synthesis level of a information processing model for the use of teachers and librarians. The synthesis level is most ambiguous process for students when they organize the information gathered into a report.

• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.14-30
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• 2023

The purpose of this study is to compare research trends in the information and communication technology (ICT) field between North and South Korea and analyze the differences by using data mining. Frequency analysis, clustering, and network analysis were performed using keywords from seven South Korean and two North Korean ICT academic journals published for five years (2015-2019). In the case of South Korea (S. Korea), the frequency of research on image processing and wireless communication was high at 16.7% and 16.3%, respectively. North Korea (N. Korea) had a high frequency of research, in the order of 18.2% for image processing, 16.9% for computer/Internet applications/security, and 16.4% for industrial technology. N. Korea's natural language processing (NLP) sector was 11.9%, far higher than S. Korea's 0.7 percent. Student education is a unique subject that is not clustered in S. Korea. In order to promote exchanges between the two Koreas in the ICT field, the following specific policies are proposed. Joint research will be easily possible in the image processing sector, with the highest research rate in both Koreas. Technical cooperation of medical images is required. If S. Korea's high-quality image source is provided free of charge to N. Korea, research materials can be enriched. In the field of NLP, it calls for proposing exchanges such as holding a Korean language information conference, developing a Korean computer operating system. The field of student education encourages support for remote education contents and management know-how, as well as joint research on student remote evaluation.

• Journal of Hospice and Palliative Care
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• v.20 no.2
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• pp.111-121
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• 2017

Purpose: This study was performed to explore the current state of end-of-life (EoL) care education provided to new interns at two university hospitals. Methods: A questionnaire was given to incoming interns (N=64). The levels of acquired knowledge and experience of clinical observation were measured. Seven areas for self-assessment questions were identified and used to analyze the interns' attitudes towards EoL-related education and practice. Results: On average, participants learned five elements (nine in total) from EoL-related classes and two (seven in total) from clinical observation. The most frequently educated element was how to deliver bad news (96.9%) in the classroom setting and how to control physical symptoms (56.5%) in clinical observation. Less than 20% received training on EoL care communication, including discussion of advanced directives. Compared with participants who had no EoL training, those who had EoL training showed positive attitudes in all seven categories regarding overall satisfaction, interest and preparedness in relation to EoL-care classes and practice. Conclusion: Although interns are responsible for caring of dying patients, their EoL training in classroom and clinical settings was very insufficient. Further research should be conducted to establish an education system that provides sufficient knowledge and training on EoL care.