• Journal of Digital Convergence
• /
• v.19 no.11
• /
• pp.1-10
• /
• 2021

This paper aimed to look at the awareness of foreign workers in social platforms by using text mining, one of the big data techniques and draw suggestions for foreign workers. To achieve this purpose, data collection was conducted with search keyword 'Foreign Worker' from Jan. 1, to Dec. 31, 2020, and frequency analysis, TF-IDF analysis, and degree centrality analysis and 100 parent keywords were drawn for comparison. Furthermore, Ucinet6.0 and Netdraw were used to analyze semantic networks, and through CONCOR analysis, data were clustered into the following eight groups: foreigner policy issue, regional community issue, business owner's perspective issue, employment issue, working environment issue, legal issue, immigration issue, and human rights issue. Based on such analyzed results, it identified national awareness of foreign workers and main issues and provided the basic data on policy proposals for foreign workers and related researches.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.5
• /
• pp.129-153
• /
• 2023

This study was conducted in the context of the Covid-19 pandemic by analyzing a large amount of press report frames regarding the Covid-19 vaccine which is of great public interest, in order to explore the role and direction of trusted media as core elements of crisis communication. The study period lasted for eight months beginning in November 2020 when the development of the Covid-19 vaccine was in progress until June 2021. Set-up as research subjects were the Chosun Ilbo, Joongang Ilbo, Dong-A Ilbo and Hankyoreh according to their public confidence rankings and number of readers.The analysis method used structured topic Modeling (STM) and semantic network analysis. As a result, based on a clear cluster of word structures and a central analysis value, a total of 64 relevant frames, 16 for each news company, were gathered. In the third phase a comparative analysis of the four news companies was carried out to verify the organizational degree of the frames and substantial differences.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.113-119
• /
• 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.

• 한국노년학
• /
• v.39 no.1
• /
• pp.109-125
• /
• 2019

This study examined factors that prevent older adults from using computers and/or smartphones for their health information search and health management. This study conducted face-to-face survey of a total of 240 older adults aged over 65. Based on the responses of open-ended questions, this study conducted semantic network analysis. The results showed that low level of perceived usefulness(PU) (e.g., information I want to find, detailed information, and trustworthiness) and perceived ease of use(PEOU) (e.g., how to search for information, how to install applications, and visibility) are main factors that prevent older adults from using computers and/or smartphones for their health information search and health management. Furthermore, based on the results of semantic network analysis, further hierarchical regression analysis confirmed that PU and PEOU were positively associated with intention to use mobile application. Thus, the results imply that increasing older adults' PU and PEOU can promote their intention to use mobile application.

• 한국노년학
• /
• v.27 no.2
• /
• pp.371-392
• /
• 2007

Marital status has drawn much attention as previous studies have been pointed it out as a key factor of health. Nonetheless, systematic studies on elderly marital status and health have been quite limited, for most researches have neglected the varying effects of marital status on health over the lifespan and mainly focused on midlife. This study, using nationwide survey on elderly population, attempts to discover the health differentials between widowed and married elderly and explain the differences though the structure and function of their social network. The results reveal that the magnitudes of marital status effects were differed by dimensions of health. The widowed were more likely to be unhappy than married, even after controlling the socio-demographic characteristics. In physical health, however, the health differences between widowed and married were less noticeable or disappeared, as sex, age and other structure factors were considered. Furthermore, the strength of social network factors affecting the physical and mental health of elderly turned out to be different between married and widowed: widowed were more likely than married to be affected by the contact with children and less likely to be affected by contact with friends/relatives. Such results had both positive and negative impact on physical and mental health of widowed. This may imply the difference in pathways of regulating health among the married and widowed elderly.

• The KIPS Transactions:PartB
• /
• v.12B no.7 s.103
• /
• pp.829-840
• /
• 2005

Word Sense Disambiguation(WSD) is one of the most difficult problem in Korean information processing. We propose a WSD model with the capability to filter semantic information using the specific characteristics in dictionary dictions, and nth added information, useful to sense determination, such as statistical, distance and case information. we propose a model, which can resolve the issues resulting from the scarcity of semantic information data based on the word hierarchy system (thesaurus) developed by Ulsan University's UOU Word Intelligent Network, a dictionary-based toxicological database. Among the WSD models elaborated by this study, the one using statistical information, distance and case information along with the thesaurus (hereinafter referred to as 'SDJ-X model') performed the best. In an experiment conducted on the sense-tagged corpus consisting of 1,500,000 eojeols, provided by the Sejong project, the SDJ-X model recorded improvements over the maximum frequency word sense determination (maximum frequency determination, MFC, accuracy baseline) of $18.87\%$ ($21.73\%$ for nouns and inter-eojeot distance weights by $10.49\%$ ($8.84\%$ for nouns, $11.51\%$ for verbs). Finally, the accuracy level of the SDJ-X model was higher than that recorded by the model using only statistical information, distance and case information, without the thesaurus by a margin of $6.12\%$ ($5.29\%$ for nouns, $6.64\%$ for verbs).

• Journal of the Korean Chemical Society
• /
• v.43 no.6
• /
• pp.699-706
• /
• 1999

The purpose of this study was to investigate high school students' conceptions and conceptual types on molecular kinetic theory of gases. Data was collected by a series of semi-structured and in-depth interviews, and has been analyzed. This study showed that the students came to science classes with various prior conceptions of many disciplinary topics. Their conceptual types of their prior knowledge were distinguished as superficial terms-speaking, partial sense-making, and causal sense-making by the degrees of organization and elaboration of conceptual networks. These conceptual types had influence on the ways students understand and think of science, a stability of their conceptions, a tendency to distinguish school science from everyday science, and building a meaning of concept in contexts. It was referred that the students didn't have proper understanding on the nature of scientific knowledge and had been limited their participations as active learners. Therefore, in order for students to experience conceptual change, they must have opportunities of manifesting their own thinking, taking part in discussions, and promoting their motivations and metacognition of knowing and learning science.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.4
• /
• pp.375-380
• /
• 2022

The purpose of this study is to find out consumers' perception and meaning of convenience store convenience food by using big data. For this study, NNAVER and Daum analyzed news, intellectuals, blogs, cafes, intellectuals(tips), and web documents, and used 'convenience store convenience food' as keywords for data search. The data analysis period was selected as 3 years from January 1, 2019 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted using TEXTOM, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, convenience store convenience foods were clustered into health, diversity, convenience, and economy according to consumers' selection attributes. It is expected to be the basis for the development of a new convenience menu that pursues convenience and convenience based on consumers' meaning of convenience store convenience foods such as appropriate prices, discount coupons, and events.

• Smart Media Journal
• /
• v.12 no.5
• /
• pp.17-27
• /
• 2023

Recently, automatic text summarization, which automatically summarizes only meaningful information for users, is being studied steadily. Especially, research on text summarization using Transformer, an artificial neural network model, has been mainly conducted. Among various studies, the GSG method, which trains a model through sentence-by-sentence masking, has received the most attention. However, the traditional GSG has limitations in selecting a sentence to be masked based on the degree of overlap of tokens, not the meaning of a sentence. Therefore, in this study, in order to improve the quality of text summarization, we propose SbGSG (Semantic-based GSG) methodology that selects sentences to be masked by GSG considering the meaning of sentences. As a result of conducting an experiment using 370,000 news articles and 21,600 summaries and reports, it was confirmed that the proposed methodology, SbGSG, showed superior performance compared to the traditional GSG in terms of ROUGE and BERT Score.

• Korean Journal of Social Welfare Studies
• /
• v.44 no.2
• /
• pp.59-87
• /
• 2013

The goal of this study is to understand the experiences of emigration to Vietnam for Korean older males through a qualitative case study. The specific research questions are following. Firstly, what do they experience through emigration to Vietnam? Secondly, what are the meanings of emigration to Vietnam for them? Thirdly, what are the contextual meanings of it? To explore these questions, the data were collected through diverse data collection methods including in-depth interviews with seven research participants for eleven months. Each case was carefully examined and summarized in the within-case analysis and major issues appeared in each case were described in the cross-case analysis before the reconstitution of story-telling considering a holistic context on the older males' experiences of emigration to Vietnam. The six integrated themes are 'Motivation and background of immigration', 'Acculturation', 'Social network', 'Meaning of work', 'Family' and 'Spirituality and attitude to the life', 'Perceptions on death'. Finally, the critical results were summarized before indicating limits and implications of this study and then some suggestions for following studies are summarized on the conclusion.