• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.345-351
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• 2020

Administrative agencies today are paying keen attention to big data analysis to improve their policy responsiveness. Of all the big data, news articles can be used to understand public opinion regarding policy and policy issues. The amount of news output has increased rapidly because of the emergence of new online media outlets, which calls for the use of automated bots or automatic document classification tools. There are, however, limits to the automatic collection of news articles related to specific agencies or departments based on the existing news article categories and keyword search queries. Thus, this paper proposes a method to process articles using classification glossaries that take into account each agency's different work features. To this end, classification glossaries were developed by extracting the work features of different departments using Word2Vec and topic modeling techniques from news articles related to different agencies. As a result, the automatic classification of newspaper articles for each department yielded approximately 71% accuracy. This study is meaningful in making academic and practical contributions because it presents a method of extracting the work features for each department, and it is an unsupervised learning-based automatic classification method for automatically classifying news articles relevant to each agency.

• Archives of design research
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• v.16 no.1
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• pp.35-44
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• 2003

In the past era, acquisition and utilization of useful information was the main origin of competition. Nowadays, unlike that era, is the era of knowledge information(management) in which we should create a new knowledge on the basis of information and apply it to the field of practice. And more acquisition of information is no more the competitive power of any person, any company and any nation because in such the era of knowledge management, anyone can access and get the information he needs, utilizing internet-based searching system. Such demands of the times of knowledge management change rapidly in each field through knowledge management system and researches about knowledge management are actively processed in various academic branches. However, in our field of design, researches about those demands(knowledge management) still remain on the level of one-dimensional searching service for general data about design. Therefore, in this study, we developed building database of researches on form, color, aesthetical elements, preference image word, satisfaction etc. about CI/BI of home electronics goods, living goods, apparels, and food goods companies, also suggesting searching system through which you can obtain useful data and information helpful for designers to process CI/BI works of new product by using that database. Especially, in case of developing specific CI/BI, various search results through help of suggested system will supply a useful design concept. And more, cross table which is the result of analysis two-dimensional categorical data about existing design factors(such as form, color, aesthetical elements, preference image word, and satisfaction) will make contribution for designers to create a new design knowledge.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.6
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• pp.235-242
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• 2021

In this work, we develop a Korean dependency parser based on a stack-pointer network that consists of a pointer network and an internal stack. The parser has an encoder and decoder and builds a dependency tree for an input sentence in a depth-first manner. The encoder of the parser encodes an input sentence, and the decoder selects a child for the word at the top of the stack at each step. Since the parser has the internal stack where a search path is stored, the parser can utilize information of previously derived subtrees when selecting a child node. Previous studies used only a grandparent and the most recently visited sibling without considering a subtree structure. In this paper, we introduce graph attention networks that can represent a previously derived subtree. Then we modify our parser based on the stack-pointer network to utilize subtree information produced by the graph attention networks. After training the dependency parser using Sejong and Everyone's corpus, we evaluate the parser's performance. Experimental results show that the proposed parser achieves better performance than the previous approaches at sentence-level accuracies when adopting 2-depth graph attention networks.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.41-48
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• 2022

This study tried to empirically explore which issues related to the social service agency for public(as below SSA), that is, social perceptions were formed, by using mess media related to the SSA. This study is meaningful in that it identifies the overall social perception and trend of SSA through public opinion. In order to extract media trend data, the search used the big data analysis system, Textom, to collect data from the representative portals Naver News and Daum News. The collected texts were 1,299 in 2020 and 1,410 in 2021, for a total of 2,709. As a result of the analysis, first, the most derived words in relation to the frequency of text appearance were 'SSA', 'establishment', and 'operation'. Second, as a result of the N-gram analysis, the pairs of words directly related to the SSA 'SSA and public', 'SSA and opening', 'SSA and launch', and 'SSA and Department Director', 'SSA and Staff', 'SSA and Caregiver' etc. Third, in the results of TF-IDF analysis and word network analysis, similar to the word occurrence frequency and N-gram results, 'establishment', 'operation', 'public', 'launch', 'provided', 'opened', ' 'Holding' and 'Care' were derived. Based on the above analysis results, it was suggested to strengthen the emergency care support group, to commercialize it in detail, and to stabilize jobs.

• The Journal of Korean Philosophical History
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• no.27
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• pp.167-196
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• 2009

The king-vassal-subject relation in neo-confucianism can be elucidated in their status context as well as in their communicative context. In their status context, there are two aspects of power such as sovereignty and rule. Chu-zhi thinks that subjects are nobler than king in the aspect of sovereignty, but the relation is reversed in the aspect of ruling power. These two relaitions are not contradictory, but compatible. When ruling power operates, he thinks, king, vassals and word-watching officials(諫官) must check each other. In their communicative context, there are theories of sympathy and public discourse. Sympathy consists of moral sympathy through virtue politics and emotional sympathy through enjoying together. Chu-zhi finds a theoretical basis of public discourse in the place where heavenly principle meets with human mind. Public discourse is to search for common good. Institutional arrangements for public discourse are the official's rights to open and free speech. He thinks that word-watching officials must be speech leaders.

• Journal of The Korean Association For Science Education
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• v.27 no.5
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• pp.447-455
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• 2007

The Research works published in the field of Korean science education in relation to the theories of 'J. Piaget', 'D. P. Bruner' or 'J. S. Ausubel' have been analyzed and their general pattern of study were determined. Specifically, based on science education related articles published in several Korean journals, the pattern of research about the three scholars' theory is identified with the classification of the specific kind of journal, year of publication, key word, field of study, field of research, and grade of school. The journals subjected to the present study include 'Journal of the Korean Physical Society', 'Journal of the Korean Chemical Society', 'Journal of the Korean Biology Society', 'Journal of the Korean Earth Science Society', 'Journal of the Korean Association for Research in Science Education', and 'Journal of the Korean Society of Elementary Science Education'. It is determined from the present study as follows: First, the total number of related articles published in said journals is 97, and 'Journal of the Korean Association for Research in Science Education' ranks first in numbers. In terms of time period, it is found that most of the researches has been carried out during the mid 90s, and is still popular today. In addition, our key word search revealed that the 'cognitive development' by Piaget is most widely studied in the articles and biology is the area that has been most frequently studied. As to the field of research, teaching study was the one that has been most widely studied. Further, many articles have focused their studies on middle school. In conclusion, it is found that the Korean research works so far made for the theory of 'J. Piaget', 'D. P. Bruner' or 'J. S. Ausubel' are rather limited to a certain area and field, etc.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.53-68
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• 2015

This study analyzed online word-of-mouth information using content analysis to help practical categorization of two-sided eWOM. A total of 402 online consumer reviews on search goods and experience goods were collected. Descriptive characteristics(information direction, length of review line) and content structural characteristics(product benefit types, information presentation methods) were used as analysis criteria. The study results are as follows. First, the types of two-sided e-WOM direction were made of positive/negative, negative/positive, positive/negative/ positive, and negative/positive/negative. Second, the length of two-sided eWOM was longer than the length of one-sided eWOM and blended type accounted for the highest proportion both one-sided and two-sided eWOM at the aspect of product benefit. Third, holistic presentation method was overwhelmingly high in one-sided eWOM, whereas blended and analytic presentation methods were somewhat high in two-sided eWOM. Fourth, holistic presentation method was high in search goods, whereas blended and analytic presentation methods were high in experience goods. Based on these results, implications for two-sided e-WOM study and further research issues were discussed.

• Journal of Korean Medicine for Obesity Research
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• v.13 no.1
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• pp.1-9
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• 2013

Objectives: This study was performed to analyze the recent trend of the studies about obesity in medicine and to provide background for futher studies. Methods: All of the article were selected in "The Korean Journal of Obesity". Search were conducted through "http://kosso.or.kr" with the search word "obesity". Collected articles were classified into clinical study, experimental study, literary study, case report. Results: One hundred eighty four studies were included and analyzed in terms of study design, subject, intervention, period, obesity index and so on. The numbers of clinical studies, literary studies, experimental studies, case reports were respectively 143 (77.7%), 26 (14.1%), 2 (1.1%) and 7 (3.8%). In clinical studies, observational studies were 112 (78.3%) and intervention studies were 31 (21.7%). And most of sample sizes were more than 100 and less than 499. Body mass index, waist circumstance, body fat percent were major criteria of clinical study. Most of the subjects on obesity were about relation with another disease or experimental results and diagnosis. According to classification by the kinds of intervention, diet, exercise, drug, behavior were respectively 22, 18, 8, and 8. More than fourty percent of intervention studies were studied for 12 weeks. Conclusions: To improve the quality of Korean Medicine study for obesity, we need to recruiting big sample size and activate randomized clinical trial.

• Journal of Society of Occupational Therapy for the Aged and Dementia
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• v.12 no.2
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• pp.67-74
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• 2018

Objective : The purpose of this study is to quantitatively analyze the role of occupational therapy in long - term care insurance for the elderly using text mining, one of the big data analysis techniques. Method : For the analysis of newspaper articles, "Long - Term Care Insurance for the Elderly + Occupational Therapy for the Elderly" was collected after the period from 2007 to 208. Naver, which has a high share of the domestic search engine, utilized the database of Naver News by utilizing Textom, a web crawling tool. After collecting the article title and original text of 510 news data from the collection of the elderly long term care insurance + occupational therapy search, we analyzed the article frequency and key words by year. Result : In terms of the frequency of articles published by year, the number of articles published in 2015 and 2017 was the highest with 70 articles (13.7%), and the top 10 terms of the key word analysis showed the highest frequency of 'dementia' (344) In terms of key words, dementia, treatment, hospital, health, service, rehabilitation, facilities, institution, grade, elderly, professional, salary, industrial complex and people are related. Conclusion : In this study, it is meaningful that the textual mining technique was used to more objectively confirm the social needs and the role of the occupational therapist for the dementia and rehabilitation in the related key keywords based on the media reporting trend of the elderly long - term care insurance for 11 years. Based on the results of this study, future research should expand research field and period and supplement the research methodology through various analysis methods according to the year.

• 한국체육학회지인문사회과학편
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• v.54 no.3
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• pp.439-452
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• 2015

The purpose of this study is to encourage continuous participation in sports and to provide basic data for the promotion of participation in leisure sports. To achieve the purpose, this study conducted factor scaling analysis on participation motives for leisure sports and subdivided them to analyze psychological reactions of participants. As for study methods, this study collected master and doctor's degree theses and academic journals on motives for sports participation that were conducted from 1997 to 2012 from Korean major search engines. On the search engines, a keyword 'motive' was searched first and then studies on participation motive for leisure sports were collected. Key words that appeared when searching 'motive' were combined with other key words and word spacing between them were checked before conducting a literature analysis. The study results showed that participation motives for leisure sports were divided into a participation motive, an internal motive, an external motive, a leisure motive and other motives. It was identified that there were 23 factors for the participation motive, 17 factors each for the internal motive and the external motive, 8 factors for the leisure motive and 57 factors for other motives. It was found out that 76 factors were used to study a participation motive for leisure sports, excluding the factors that have similar or overlapping meaning based on each factor.