• Journal of Christian Education in Korea
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• v.75
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• pp.33-56
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• 2023

Purpose of study: The purpose of this study is to analyze the origins and texts of the Jewish scriptures, the Mishnah Moed, and to examine them from the perspective of educational theology to suggest practical application methods for Christian education. Research content and method: In order to achieve the purpose of the research, the contents were set as follows. First, for analyzing the origin and text of Mishnah Moed, the historical process until Mishnah Moed was edited was reviewed, and the contents of the text of Mishnah Moed were classified into 2 groups of 12 Masekkot from the viewpoint of the researcher; The first group is the contents Shabbath and Festivals : Shabbat, Pesahim, Yoma, Sukkah, Rosh haShanah, Megillah and the other group is as a rule to keep the festival, Erubin, Sheqalim, Betzah, Taanith, Moed Qatan, Hagigah. Second, in order to analyze the mishnah moed in educational theology, the church calendar for the festivals currently used in Christianity was analyzed by dividing it into the origin of the church year, the contents of the church year, and the scriptures of the church year. Third, as an educational model for applying Mishnah Moed to Christian education, the goal of seasonal education, the content of seasonal education, and the method of seasonal education were presented. Conclusions and Suggestions: The conclusion of the research is as follows; First, seasonal education based on the teachings of the Bible must be conducted within the Christian community. Second, The education is needed for leading a life that correctly understands and practices the historical process of the Christian festivals. Third, various church education programs should be developed and utilized according to the Christian Bible routine. Fourth, numerous symbols symbolizing the Christian festivals must be created and educated. Fifth, except for the festivals of the sufferings of Jesus Christ, the rest of the festivals must be observed as Celebration.

• Cross-Cultural Studies
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• v.52
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• pp.165-194
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• 2018

Employing Fairclough's critical discourse analysis (CDA), the purpose of this study was to analyze linguistically significant features, intertextuality, and sociocultural practice focusing on selected editorials of The Global Times, $Hu{\acute{a}}nqi{\acute{u}}$ Shíbào on the 2018 United States-China Trade War. The editorial titled "With the strong will of 'the War to Resist America and Aid Chosun,' let us go through the trade war against America" focused on the use of 'war' related vocabulary in the frame of 'war.' First, "Trade War" and "War to Resist America and Aid Chosun" are examples that reveal metaphors and a war frame. Second, "Strategy" is used positively for China but negatively towards America. Third, various war related words are used. Fourth, cases of allusion illustrate war. Intertextuality in terms of discourse practice pertains to two findings. First, The Global Times, $Hu{\acute{a}}nqi{\acute{u}}$ Shíbào repeatedly uses the phrase 'equivalent revenge.' That is because the expression enables China to justify their counterattack and such war that China may wage can be interpreted as just counterattack much like a self-defense mechanism. Second, the expression, 'the counterattack is not intended but it is not fearful' is repeated in several editorials of the newspaper. The reasons are the following: 1) it is used to appeal to the public, 2) by invoking the feeling of fear, the public should be understand why they should unite, and 3) the expression, "it is not fearful" is used to preserve China's global image and "the counterattack is not intended" is used to signal China's will to America. The whole expression is a good example of intertextuality that repetitively illustrates the intended meaning of China in nine editorials in the newspaper within three months, March 23-June 17, 2018. Finally, sociocultural practice is manipulated through the editorial for disseminating the Chinese government's hegemonic ideology. First, it is clear that the core national project, "China Manufacturing 2025" cannot be abandoned. Second, by calling for "War to Resist America and Aid Chosun" the editorial is manipulated to condemn and intimidate America, avoid dissent of the people, appeal to the people, and empower the government. Third, China somehow wants to open up the possibility of negotiation with the United Sates.

• Communications of Mathematical Education
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• v.33 no.3
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• pp.275-294
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• 2019

In order to understand the recent trends in mathematics education research papers, data mining method was applied to analyze journals of the mathematics education posterior to the year of 2016. Text mining method is useful in the sense that it utilizes statistical approach to understand the linkages and influencing relationship between concepts and deriving the meaning that data shows by visualizing the process. Therefore, this research analyzed the key words largely mentioned in the recent mathematics education journals. Also the correlation between the subjects of mathematics education was deduced by using topic modeling. By using the trend analysis tool it is possible to understand the vital point which researchers consider it as important in recent mathematics education area and at the same time we tried to use it as a fundamental data to decide the upcoming research topic that is worth noticing.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.115-122
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• 2019

In the online marketplace, consumers are exposed to various products and freely express opinions. As consumer product reviews have a important effect on the success of online markets and other consumers, online market needs to accurately analyze the consumers' emotions about their products. Text mining, which is one of the data analysis techniques, can analyze the consumer's reviews on the products and efficiently manage the products. Previous studies have analyzed specific domains and less than 20,000 data, despite the different accuracy of the analysis results depending on the data domain and size. Further, there are few studies on additional factors that can improve the accuracy of analysis. This study analyzed 72,530 review data of food product domain that was not mainly covered in previous studies by using ensemble technique. We also examined the influence of summary review on improving accuracy of analysis. As a result of the study, this study found that Boosting ensemble technique has the highest accuracy of analysis. In addition, the summary review contributed to improving accuracy of the analysis.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.333-342
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• 2021

In this study, we analyzed the vocabulary, lemmas, keywords, and n-grams in 『Treasure Island』 to identify certain linguistic features of this British-American children's adventure novel. The current study found that, contrary to the popular claim that frequently-used words are important and essential to a story, the set of frequently-used words in 『Treasure Island』 were mostly function words and proper nouns that were not directly related to the plot found in 『Treasure Island』. We also ascertained that a list of keywords using a statistical method making use of a corpus program was not good enough to surmise the story of 『Treasure Island』. However, we managed to extract 30 keywords through the first quantitative keyword analysis and then a second qualitative keyword analysis. We also carried out a series of n-gram analyses and were able to discover lexical bundles that were preferred and frequently used by the author of 『Treasure Island』. We hope that the results of this study will help spread this knowledge among British-American children's literature as well as to further put forward corpus stylistic theory.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.137-144
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• 2023

One of the methods being suggested as a way to address social issues is the utilization of big data analysis techniques. In this study, we utilized keyword network analysis and CONCOR analysis techniques to analyze the research trends on work-related musculoskeletal disorders. The findings of this study are as follows: Firstly, the number of papers on work-related musculoskeletal disorders has been consistently increasing, with an average of over 33 articles published per year since the investigation of musculoskeletal risk factors in 2003. The publication rate showed an increase from 2007 to 2009. Secondly, the frequency of the top keywords identified through text mining were as follows: work (4,940), musculoskeletal disorders (2,197), symptoms (1,836), related (1,769), musculoskeletal system (1,421). Thirdly, the CONCOR analysis resulted in the formation of four clusters: ' Musculoskeletal disorder treatment', 'Occupational health and safety management', 'Work environment assessment', and ' Workplace environment measurement'. It is expected that this study will contribute to the development of research on musculoskeletal disorders and provide various directions for future studies.

• Korea Trade Review
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• v.48 no.1
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• pp.55-81
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• 2023

The purpose of this study is to analyze the main issues and trends of Korean trade, and to draw implications for future research regarding trade rules. A total of 476 academic journal are analyzed using English keyword searched for 'Trade Rules' from 2000 to July 2022 in the Korean Journal Citation Index data base. The analysis methodology includes co-occurrence network and topic trend analysis which is a kind of text mining methods. The results shows that key words representing Korea's trade trend fall into four categories in which the number of research journals has rapidly increased, which are Topic 4 (Investment Treaty), Topic 7 (Trade Security), Topic 8 (China's Protectionism), and Topic 11 (Trade Settlement). The major background for these topics is the tension between the United States and China threatening the existing international trade system. A detailed study for China's protectionism, changes in trade security system, and new investment agreements, and changes in payment methods will be the challenges in near future.

• Korean journal of communication and information
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• v.48
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• pp.280-305
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• 2009

By conceptualizing UCC users' active behavior, this study newly presents two key concepts, 'self-expression' and 'artistic activity' of UCC users. Then, this study suggests a research framework to analyze text, image, and video UCC adoption processes by integrating those concepts with already-built UCC research tradition. Using the framework, we found that individuals who has a hard time expressing themselves in reality are likely to have a favorable attitude toward UCC, and the stronger the faith about the justice of self-expression and its freedom, the more the favorable attitude toward UCC. Furthermore, we confirmed that individuals who are very interested in artistic activity, and individuals who has high self-efficacy to their artistic talent are likely to participates more in UCC production. The role of other factors such as perceived enjoyment, the perception of critical mass of UCC adoption, and subjective norm also were discussed with limitations of this study.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.3
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• pp.35-46
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• 2016

Social network services (SNS) that help to build relationship network and share a particular interest or activity freely according to their interests by posting comments, photos, videos,${\ldots}$ on online communities such as blogs have adopted and developed widely as a social phenomenon. Several researches have been done to explore the pattern and valuable information in social networks data via text mining such as opinion mining and semantic analysis. For improving the efficiency of text mining, keyword-based approach have been applied but most of researchers argued the limitations of the rules of Korean orthography. This research aims to construct a database of non-standard Korean words which are difficulty in data mining such abbreviations, slangs, strange expressions, emoticons in order to improve the limitations in keyword-based text mining techniques. Based on the study of subjective opinions about specific topics on blogs, this research extracted non-standard words that were found useful in text mining process.

• The Journal of Bigdata
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• v.8 no.2
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• pp.55-71
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• 2023

Cloud Native refers to the Technical Maturity Level of a cloud environment that can utilize all cloud resources to fully function. In converting public sector information resources to the cloud, the characteristics of the cloud are not being used well. Therefore, in this study, the qualitative research method cloud expert interview technique and the quantitative research method used text network analysis for domestic and foreign related articles. Through this, we analyzed the utilization trends related to domestic and foreign cloud natives and the cloud policies of developed countries. Through previous research, the core components of cloud-native were examined, and the need for agile methodologies that were not addressed in previous studies was raised. It is believed that these core components will be applied in the public sector to contribute to business innovation through digital innovation. In addition, this study aims to provide important implications for the use of cloud native in Korea through an in-depth discussion on how to spread cloud native in the public sector.