• Journal of Family Resource Management and Policy Review
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• v.27 no.1
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• pp.13-24
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• 2023

The 4th industrial revolution came deep into family life and changed the way of housework and care. The change in the family caused by the technological change of the 4th industrial revolution is remarkable in terms of socialization of housework. In this study, the socialization of housework, which is accelerating in the era of the 4th industrial revolution, was examined focusing on the change in the aspect of "household service" through the "platform". Since 2015, when technological changes in the 4th industrial revolution began to decline, related newspaper articles were extracted for daily and economic newspapers nationwide and analyzed big data. The results of big data analysis show that the platform economy using the 4th industrial revolution technology is rapidly spreading the socialization of housework not only at the business level but also at the public policy level. It has been confirmed that support for household services through the platform is growing into a new business area of companies, and at the public policy level, it is being treated as an important policy task in supporting work-family balance or responding to infectious diseases. This study is meaningful in that it provided an opportunity to reflect on the roles and tasks of the family, market, and state for housework and care in the future through changes in housework and care caused by the 4th industrial revolution technology.

• Journal of Science Education
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• v.45 no.3
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• pp.292-303
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• 2021

This study identifies the terms frequently used together with energy in online science news articles and topics of the news reports to find out how the term energy is used in everyday life and to draw implications for science curriculum and instruction about energy. A total of 2,171 online news articles in science category published by 11 major newspaper companies in Korea for one year from March 1, 2018 were selected by using energy as a search term. As a result of natural language processing, a total of 51,224 sentences consisting of 507,901 words were compiled for analysis. Using the R program, term frequency analysis, semantic network analysis, and structural topic modeling were performed. The results show that the terms with exceptionally high frequencies were technology, research, and development, which reflected the characteristics of news articles that report new findings. On the other hand, terms used more than once per two articles were industry-related terms (industry, product, system, production, market) and terms that were sufficiently expected as energy-related terms such as 'electricity' and 'environment.' Meanwhile, 'sun', 'heat', 'temperature', and 'power generation', which are frequently used in energy-related science classes, also appeared as terms belonging to the highest frequency. From a network analysis, two clusters were found including terms related to industry and technology and terms related to basic science and research. From the analysis of terms paired with energy, it was also found that terms related to the use of energy such as 'energy efficiency,' 'energy saving,' and 'energy consumption' were the most frequently used. Out of 16 topics found, four contexts of energy were drawn including 'high-tech industry,' 'industry,' 'basic science,' and 'environment and health.' The results suggest that the introduction of the concept of energy degradation as a starting point for energy classes can be effective. It also shows the need to introduce high-tech industries or the context of environment and health into energy learning.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.199-219
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• 2018

With the everyday use of the Internet and the spread of various smart devices, users have been able to communicate in real time and the existing communication style has changed. Due to the change of the information subject by the Internet, data became more massive and caused the very large information called big data. These Big Data are seen as a new opportunity to understand social issues. In particular, text mining explores patterns using unstructured text data to find meaningful information. Since text data exists in various places such as newspaper, book, and web, the amount of data is very diverse and large, so it is suitable for understanding social reality. In recent years, there has been an increasing number of attempts to analyze texts from web such as SNS and blogs where the public can communicate freely. It is recognized as a useful method to grasp public opinion immediately so it can be used for political, social and cultural issue research. Text mining has received much attention in order to investigate the public's reputation for candidates, and to predict the voting rate instead of the polling. This is because many people question the credibility of the survey. Also, People tend to refuse or reveal their real intention when they are asked to respond to the poll. This study collected comments from the largest Internet portal site in Korea and conducted research on the 19th Korean presidential election in 2017. We collected 226,447 comments from April 29, 2017 to May 7, 2017, which includes the prohibition period of public opinion polls just prior to the presidential election day. We analyzed frequencies, associative emotional words, topic emotions, and candidate voting rates. By frequency analysis, we identified the words that are the most important issues per day. Particularly, according to the result of the presidential debate, it was seen that the candidate who became an issue was located at the top of the frequency analysis. By the analysis of associative emotional words, we were able to identify issues most relevant to each candidate. The topic emotion analysis was used to identify each candidate's topic and to express the emotions of the public on the topics. Finally, we estimated the voting rate by combining the volume of comments and sentiment score. By doing above, we explored the issues for each candidate and predicted the voting rate. The analysis showed that news comments is an effective tool for tracking the issue of presidential candidates and for predicting the voting rate. Particularly, this study showed issues per day and quantitative index for sentiment. Also it predicted voting rate for each candidate and precisely matched the ranking of the top five candidates. Each candidate will be able to objectively grasp public opinion and reflect it to the election strategy. Candidates can use positive issues more actively on election strategies, and try to correct negative issues. Particularly, candidates should be aware that they can get severe damage to their reputation if they face a moral problem. Voters can objectively look at issues and public opinion about each candidate and make more informed decisions when voting. If they refer to the results of this study before voting, they will be able to see the opinions of the public from the Big Data, and vote for a candidate with a more objective perspective. If the candidates have a campaign with reference to Big Data Analysis, the public will be more active on the web, recognizing that their wants are being reflected. The way of expressing their political views can be done in various web places. This can contribute to the act of political participation by the people.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.4
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• pp.104-117
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• 2017

This study compares the results of landscape image analysis using text mining techniques and factor analysis for Lotte World Tower, which is the first atypical skyscraper building in Korea, and identifies landscape images of the site to determine possibilities of use. Lotte World Tower's landscape image has been extracted from text mining analysis focusing on adjectives such as 'new', 'transformational', 'unusual', 'novelty', 'impressive', and 'unique', and phrases such as in the process of change, people's active elements(caliber, outing, project, night view), media(newspaper, blog), and climate(weather, season). As a result of the factor analysis, factors affecting the landscape image of Lotte World Tower were symbolic, aesthetic, and formative. Identification, which is a morphological feature, has characteristics of scale and visibility but it is not statistically significant in preference. Rather, the psychological factors such as the symbolism with characteristics such as poison and specialty, harmony with the characteristics of the surrounding environment, and beautiful aesthetic characteristics were an influence on the landscape image. The common results of the two research methods show that psychological characteristics such as factors that can represent and represent the city affect the landscape image more greatly than the morphological and physical characteristics such as location and location of the building. In addition, the text mining technique can identify nouns and adjectives corresponding to the images that people see and feel, and confirms the relationship between the derived keywords, so that it can focus the process of forming the landscape image and further the image of the city. It would appear to be a suitable method to complement the limitation of landscape research. This study is meaningful in that it confirms the possibility that big data can be utilized in landscape analysis, which is one research field of landscape architecture, and is significant for understanding the information of a big data base and contribute to enlarging the landscape research area.

• Journal of Families and Better Life
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• v.24 no.1 s.79
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• pp.129-140
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• 2006

The purpose of this study was to understand the labor division between men's housework and market work and to research the change of men's contribution to housework. And it was also examined what kinds of valuables work on a change in men's market work and housework. The information about men's change in the labor division was collected from the biggest 5 news papers in Korea for last five years for this study. And either men's new participation trend to household work did. Words searched for this study were men, labor, family, home, housewife, work, household work, father etc. Korean men have experienced a overloaded breadwinner role and have worked most in the world since 1960s. But Korean men's working time was continuously decreased a little every year. As Korean Companies had fired many worker during IMP economic crisis period, Korean men had to work more than before because of decreased fellows and they should have concentrated on their work at the sacrifice of private life and family-sharing time. On the other hand, some men were started to participate to do housework as a results of long-unemployment and early retirement after this periods. 5 day working system be in forced gradually since 2003 especially make men come back home and interest on housework. So Korean men's housework participation is gradually increasing by the practical application of sex-equitable politics such as 5 day working system and men's suspension regime for baby care. father's increased participation to children education and care, men's new family-oriented life style, dual-sexuality education system, and socially changed perception to husband housemaker. These interrelated trends demands us to shape a new labor division pattern in the family that make change the breadwinner/homemaker conception by the gender role. Now, all of family, men, women, and children have to join housework. It would help women, men, and all families make more human and equitable relationship.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8107-8115
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• 2015

The purpose of this study is to clarify the architectural meaning of the term 'Whole life Department Store' that appeared in newspapers' in the 1980s. A term of 'Whole Life Department Store' is appeared to explain the emergence of department stores, including the space for a wide range of programs and services they need to live, as well as sales. This word, "Whole life", is a compound of the Whole(全) and Life(生活) and word means the entire life. This will assume that you are separated life. So I was thinking that it could be described as regional facilities that classify and distinguish the necessary space for living and building maintenance, etc. in city and architecture since the modern. And Based on this, I would understand the whole life department as regional facilities. Generally a department store is a regional facilities for higher level living area. I analyzed the location and program of department stores at the time of the emergence of the term. Through this analysis department store was located in the daily range around the apartment complex and contained spaces for the daily life of the inhabitants apartment complex. It is significant in this particular department to be valid today and the term of 'Whole Life' department store is not longer used.

• School Mathematics
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• v.6 no.1
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• pp.1-19
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• 2004

Recently, we have been listening such a words, that is, the crisis of public education through the mass communication such as newspaper or broadcasting. This means that we didn't have an enough opportunity to think it over about good education programme which the education of school can be normalized or the design of curriculum in the current problems such as overcrowded class, teacher and poor finance which is not still solved. As we know, it is true that the older generation is familiar with the rote learning which was under the control of behaviorism for about three hundred years. Fortunately, The 7th curriculum which had made public by the ministry of education on 30 Dec. 1997 have changed so many things such as real life based or activity based and so on. But it still leaves something to be desired in reflecting the demand of teachers of field. Taking into account this real situation, I have wondered how they run curriculum and how math learning programme of lower grade is different with ours in New Zealand, etc and so I had tried to find some suggestive points through the comparison of curriculum and text between Korea and New Zealand. But, if we want to compare all the strands of curriculum between two countries, it is too global and so in this paper, we deal with only number and operations(number), measurement, figure(geometry), equation and patter(algebra), probability and statistics(statistics) which are dealt with more comparatively in the lower grade of primary school. Because the main purpose of this paper is a comparison and analysis of the curriculum and math learning program of the lower grade in the primary school between two countries and so we compare global characteristics of education system and curriculum between two countries, at first and then we dealt with the very core part of the content of New Zealand curriculum within the ranges of level 1, 2 and 3 and global characteristics of learning program simultaneously.

• Journal of Distribution Research
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• v.11 no.2
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• pp.29-57
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• 2006

While a number of studies have recognized the importance of environment of channel systems and consequences of changed environment, only limited studies have dealt with this issue theoretically and practically. The purpose of this study is to empirically validate whether one dimension of environment, called dynamism, has an influence on the relationship characteristics such as transaction specific investment opportunism and conflict or not: further, it is designed to delve into whether these relationship characteristics have any influence on one crucial relationship quality, 'trust' and its two constituent dimensions - credibility and benevolence. In order to provide empirical validation, a survey was conducted to 163 sales office managers at a major newspaper publisher in Korea. An analysis of the data retrieved from this survey indicated that while environmental dynamism has a positive influence on the publisher's opportunism and conflict perceived by the sales office managers, it did not show a direct influence on the transaction specific investment made by the publisher. Furthermore, while publisher's transaction specific investment had a positive influence on the credibility and the benevolence respectively, publisher's opportunism and level of sales office conflict had a negative influence on the credibility and the benevolence respectively. Currently, a publisher is facing an unprecedentedly dynamic environment. This study should provide ample implications for the publisher in establishing trust, which is a crucial condition in developing and maintaining a long-term successful relationship with its sales offices.

• Science of Emotion and Sensibility
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• v.14 no.2
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• pp.207-220
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• 2011

The purpose of this study is to investigate sensibility words related with eco-friendly in the two media fashion magazines and internet newspapers and to analysis their appearance frequency and changes by the year through 1999~2010. Most frequently used words are 'nature, eco, cotton, natural fiber, health, fresh, clear, preservation, harmony, com fiber, and Lohas'. The words are divided in 4 groups: 'Nature/Environment, Material/Fiber, Human, and Adjectives/Micell'. A point of appearing time is analyzed: 'ecology, memory-shape material, organic, spa' were used before 2000, 'nature environment, eco-friendly, stretch material, wellbeing, substitute, recycling' were in 2000-2001, 'smart material, eco material, green' in 2002-2003, 'coolbiz, Lohas, natural dye' in 2004-2005, 'herb medicine, sustainable, warmbiz' in 2006-2007, 'greensumer, greenlife, solar energy, forest bath' in 2008-2009. Looking into their changes, in early 2000, the words of eco-friendly emotion and sensibility had appeared frequently relatively, but later on they decreased, and again recently increased showing highest appearing frequency. 'Nature/Environment' words have appeared recently very much, while 'Human' sensibility words have not changed much or decreased a little. 'Adjective/Micell' words has increased little bit recently. 'Material/Fiber' words showed decrease at fashion magazine, while they increased at the pages of internet news.

• Journal of Distribution Science
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• v.13 no.2
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• pp.95-104
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• 2015

Purpose - This is a comparative study of the market development and characteristics of Ulsan in South Korea, Fukuoka in Japan, and Yanji in China, which are major East Sea Rim cities with adjacent areas of similar natural characteristics of the sea and the country. Particularly, it considers these aspects while focusing on the evolution of networks that appear in the distribution system and at the same time examining the institutions of market activation and regulations that are handled by the central and the local government and the changing logistics due to the development of transportation and the concern of food safety, using a meso-analysis approach. Research design, data, and methodology - The study used a historical and comparative approach with a focus on case studies. It made use of various materials such as local newspaper articles, reports, literature, interviews with experts, discussions with local merchants, discussions with customers, and so forth. Results - In the case of Fukuoka, from the 1960s, due to the entry of supermarkets, supermarkets expanded and they have now come to a dominant market position in the current market. They offer a convenient and comfortable environment while providing a large mall offering a variety of educational and cultural activities for customers to meet the customers' needs, such as the preferences of Korean tourists, who appear to prefer Japanese foods. The Fukuoka City Central Wholesale Market has been exporting fruits and vegetables as well as seafood products to Korea, China, and so forth. In the case of Ulsan, as in the early 2000s, due to the expansion of supermarkets, the traditional markets have been shrinking and further, the modernization of traditional markets was conducted under the auspices of the Small Business Administration. In addition to the large discount malls, the expansion of SSM is expected to further drive the small trader bay. Shopping malls, department stores, and traditional markets contend with each other in Yanji, China, but a large number of citizens appear to prefer traditional markets and imported milk in the supermarket after the melamine scandal in China. Recently, the WanYuan (萬源) wholesale market has been partially completed and made an attempt to become a logistics hub in Northeast Asia. Conclusions - For the development of Korea's retail industry, it is important to offer the government with proposals regarding desired regulation. On the other hand, in order to enable the business of traditional markets, it requires an association for cultural tourism. At present, it would be better to provide a venture fund for the youth rather than infrastructure support. This study emphasizes the importance of institutions and policy to develop networks in the East Sea Rim. Future studies should conduct a survey on customers, managers, and merchants more carefully and systematically to understand the market situation while considering the size of the city and its evolution of markets, as well as policies and institutions.