• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.41-47
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• 2019

It is very important to search for and obtain an example of a similar judgment in case of court judgment. The existing judge's document search uses a method of searching through key-words entered by the user. However, if it is necessary to input an accurate keyword and the keyword is unknown, it is impossible to search for the necessary document. In addition, the detected document may have different contents. In this paper, we want to improve the effectiveness of the method of vectorizing a document into a three-dimensional space, calculating cosine similarity, and searching close documents in order to search an accurate judge's example. Therefore, after analyzing the similarity of words used in the judge's example, a method is provided for extracting the mode and inserting it into the text of the text, thereby providing a method for improving the cosine similarity of the document to be retrieved. It is hoped that users will be able to provide a fast, accurate search trying to find an example of a tax-related judge through the proposed model.

• Journal of Fashion Business
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• v.23 no.3
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• pp.85-100
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• 2019

This study examines changes in consumer perceptions of fashion shows, which are critical elements in the apparel industry and a means to represent a brand's image and originality. For this purpose, big data in clothing marketing, text mining, semantic network analysis techniques were applied. This study aims to verify the effectiveness and significance of fashion shows in an effort to give directions for their future utilization. The study was conducted in two major stages. First, data collection with the key word, "fashion shows," was conducted across websites, including Naver and Daum between 2015 and 2018. The data collection period was divided into the first- and second-half periods. Next, Textom 3.0 was utilized for data refinement, text mining, and word clouding. The Ucinet 6.0 and NetDraw, were used for semantic network analysis, degree centrality, CONCOR analysis and also visualization. The level of interest in "models" was found to be the highest among the perception factors related to fashion shows in both periods. In the first-half period, the consumer interests focused on detailed visual stimulants such as model and clothing while in the second-half period, perceptions changed as the value of designers and brands were increasingly recognized over time. The findings of this study can be utilized as a tool to evaluate fashion shows, the apparel industry sectors, and the marketing methods. Additionally, it can also be used as a theoretical framework for big data analysis and as a basis of strategies and research in industrial developments.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.213-222
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• 2019

This article aimed at change patterns of representations of male character and cinematic space in 2000s korean division films. The concept of division film is the unique particularity film in the narrative and representation about Korean division. The Gancheop is the special character of korean films and have been reproduced in a variety of ways. In the past, Korean films have been dealt with Korean Civil War and 'special nature' of inter-korean ties. But in the 2000s, the representation of Gancheop in films has begun to change and filmed in a variety of genres such like comedy, thriller, romance and so on. , , are consistent with close relationship of male characters. The relationship is represented as friend, brother, partner. The meaning of these changes symbolizes our concept of national unification.

• Journal of Korean language education
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• v.28 no.4
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• pp.181-219
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• 2017

The purpose of this study is to review the functions of {됐어} and {X了} as a discourse marker on different levels, and to examine their similarities and differences. {됐어} has not been widely recognized as a discourse marker in the field of Korean linguistics and Korean language education. Therefore, in order to establish the identity of {됐어} as a discourse marker, the reasons that {됐어} can be regarded as discourse marker were explained prior to the contrastive analysis. As to the method of contrastive analysis for {됐어} and {X了}, they were analyzed on three main dimensions: that is, the textual dimension, the interpersonal dimension, and the metalinguistic dimension in the corpus consisting of scripts of Korean and Chinese sitcoms. The results are as follows. In the textual domain, {됐어} and {X了} have the function of closing the topic in common, while {X了} can indicate a new topic and transmit a topic. In terms of functions in the interpersonal domain, {됐어} and {X了} are commonly used to refuse a partner's proposal or request and to interrupt a partner's speech or action. Furthermore, in the interactional aspect, {됐어} and {X了} performs the function of expressing a response to a preceding utterance and taking the turn of speaking. The difference between them in the interpersonal domain is that {X了} performs the function of correcting a speaker's utterance. In the metalinguistic domain, {됐어} and {X了} are common in that they perform the function of expressing the dissatisfaction of the speaker, showing generosity and making a compromise with the addressee. {X了}'s distinguishing characteristics in this domain is that it can express the attitude of consoling the hearer.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.335-342
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• 2018

The search service, which is a core service of the portal site, presents search queries that are rapidly increasing among the inputted search queries based on the highest instantaneous search frequency, so it is difficult to immediately notify a search query having a high degree of interest for a certain period. Therefore, it is necessary to overcome the above problems and to provide more intelligent information retrieval service by bringing improved analysis results on the change of the search queries. In this paper, we present the criteria for measuring the interest, continuity, and attention of real-time search queries. In addition, according to the criteria, we measure and summarize changes in real-time search queries in hours, days, weeks, and months over a period of time to assess the issues that are of high interest, long-lasting issues of interest, and issues that need attention in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.492-501
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• 2019

To use the system safely in cyberspace, you need to use a security solution that is appropriate for your situation. In order to strengthen cyber security, it is necessary to accurately understand the flow of security from past to present and to prepare for various future threats. In this study, information security words of security/hacking news of Naver News which is reliable by using text mining were collected and analyzed. First, we checked the number of security news articles for the past seven years and analyzed the trends. Second, after confirming the security/hacking word rankings, we identified major concerns each year. Third, we analyzed the word of each security solution to see which security group is interested. Fourth, after separating the title and the body of the security news, security related words were extracted and analyzed. The fifth confirms trends and trends by detailed security solutions. Lastly, annual revenue and security word frequencies were analyzed. Through this big data news analysis, we will conduct an overall awareness survey on security solutions and analyze many unstructured data to analyze current market trends and provide information that can predict the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.345-352
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• 2019

The 2015 revised information curriculum emphasizes the ability to solve problems in real life based on the basic concepts, principles and techniques of computer science. How the contents of textbooks are designed is an important issue in terms of achievement of educational goals and whether contents can be easily and clearly communicated. The purpose of this study is to analyze the concept presentation method presented in middle school informatics textbooks by three types of text- centered type, picture-centered type, and case-centered type- to analyze differences in understanding according to individual variables (sex, subject preference). Analysis results found the figure-centered type showed the highest degree of comprehension among students, and the preference of contents design type and the difference of understanding according to sex did not show significant differences. According to the preferred subjects, understanding of the content design types were found to be significantly different according to preferred subjects.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.175-185
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• 2021

Purpose: The aim of this study was to identify core keywords and topic groups in the 'Gestational diabetes mellitus (GDM) and Breastfeeding' field of research for better understanding research trends in the past 20 years. Methods: This was a text-mining and topic modeling study composed of four steps: 1) collecting abstracts, 2) extracting and cleaning semantic morphemes, 3) building a co-occurrence matrix, and 4) analyzing network features and clustering topic groups. Results: A total of 635 papers published between 2001 and 2020 were found in databases (Web of Science, CINAHL, RISS, DBPIA, RISS, KISS). Among them, 3,639 words extracted from 366 articles selected according to the conditions were analyzed by text network analysis and topic modeling. The most important keywords were 'exposure', 'fetus', 'hypoglycemia', 'prevention' and 'program'. Six topic groups were identified through topic modeling. The main topics of the study were 'cardiovascular disease' and 'obesity'. Through the topic modeling analysis, six themes were derived: 'cardiovascular disease', 'obesity', 'complication prevention strategy', 'support of breastfeeding', 'educational program' and 'management of GDM'. Conclusion: This study showed that over the past 20 years many studies have been conducted on complications such as cardiovascular diseases and obesity related to gestational diabetes and breastfeeding. In order to prevent complications of gestational diabetes and promote breastfeeding, various nursing interventions, including gestational diabetes management and educational programs for GDM pregnancies, should be developed in nursing fields.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.115-127
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• 2021

It is not an easy task for a user to find the correct documents that a user really wanted at once from a vast amount of the search results. For this reason, various methods of recommending documents by taking the user's preferences into consideration based on the user's document browsing history have been proposed. However, the document recommendation methodology based on the document browsing history also has a limitation that only the information the user has viewed is utilized, but the intent of the user searching for the document is not fully utilized. Therefore, we propose a document recommendation method based on the user's search intent that utilizes information on "Why" the user reads the document, instead of the information on "Who" reads the document. In order to confirm the feasibility of the proposed methodology, an experiment was conducted by analyzing 239,438 actual user's search history of one of the most popular e-commerce platform companies in Korea. As a result, our methodology showed superior performance compared to the existing content-based or simple browsing history-based recommendation model.

• (The)Study of the Eastern Classic
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• no.41
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• pp.303-331
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• 2010

The theme, 'Good Life', is one of the most classical questions all over the oriental and European societies in the history of politic ideas. Confucius (BC. 551 ~ BC. 479), a philosopher representing oriental ideas, also sought 'Good World' by proposing new world, and such 'Good World' cannot be separated from 'Good Life', which is 'Happy Life', so that his foundation of Confucius School means that he dreamt of 'Confucianism based Happiness' in another words. This study is aimed to look into Confucius' viewpoint of happiness using Analects that best shows his ideas, words and behaviors. In the Chapter 2, I checked good life and happy life dealt in the ancient European societies to get a general cognition of them. Then, I looked into the details written in the Chapter 1 Introduction, Section 1 'HakEe(學而)', Analects, in which Confucius thought that the genuine happiness of human was the process toward internal joy from learning, external joy from communicating with society and humanistic human that was the completion of oneself, which I used as the keys for this study. In the Chapter 3, 4 and 5, therefore, I investigated how such keys shown in the Chapter 1 of the Section 'HakEe' were achieved all through Analects.