• Korea Trade Review
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• v.48 no.1
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• pp.29-53
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• 2023

This study analyzes the statements made by representatives of member countries at the WTO Ministerial Conference (MC), the highest decision-making body of the WTO, to examine the position and attitude that Korea has shown at the WTO during the last 27 years. After constructing text dataset by extracting about 1,800 statement documents made by member countries from the WTO document database, the text mining technique is applied to figure out the characteristics of Korea's statements compared to other member countries. Through formal characteristics such as the number of remarks and length of speech, basic attitudes such as continuity of Korea's interest in the WTO and the level of interest in the WTO are measured. In terms of substantive characteristics, the topics in the statements of Korea are categorized through the LDA topic model, and the keywords of Korea for each session are analyzed through comparative analysis with statements by other member countries.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.203-209
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• 2021

In this study, a prototype design model was proposed for developing an online recruitment system through multi-dimensional data crawling and social media analysis, and validates text information and video interview in job application process. This study includes a comparative analysis process through text mining to verify the authenticity of job application paperwork and to effectively hire and allocate workers based on the potential job capability. Based on the prototype system, we conducted performance tests and analyzed the result for key performance indicators such as text mining accuracy and interview STT(speech to text) function recognition rate. If commercialized based on design specifications and prototype development results derived from this study, it may be expected to be utilized as the intelligent online recruitment system technology required in the public and private recruitment markets in the future.

• Journal of Educational Research in Mathematics
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• v.19 no.1
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• pp.1-24
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• 2009

The applications of ratio and similarity have been in need of everyday life from ancient times. Euclid's elements Ⅴand Ⅵ cover ratio and similarity respectively. In this note, we have done a comparative analysis to button down the contents of ratio and similarity covered by the math text books used in Korea, Euclid's elements and the math text books used in Japan and America. As results, we can observe some differences between them. When math text books used in Korea introduce ratio, they presented it by showing examples unlike math text books used in America and Japan which present ratio by explaining the definition of it. In addition, in the text books used in Korea and Japan, the order of dealing with condition of similarity of triangles and the triangle proportionality is different from that of the text books used in America. Also, condition of similarity of triangles is used intuitively as postulate without any definition in text books used in Korea and Japan which is different from America's. The manner of teaching depending on the way of introducing learning contents and the order of presenting them can have great influence on student's understanding and application of the learning contents. For more desirable teaching in math it is better to provide text books dealing with various learning contents which consider student's diverse abilities rather than using current text books offering learning contents which are applied uniformly.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.181-188
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• 2020

In this study, we propose a comparative study to confirm the impact of various word embedding techniques on the performance of sentiment analysis. Sentiment analysis is one of opinion mining techniques to identify and extract subjective information from text using natural language processing and can be used to classify the sentiment of product reviews or comments. Since sentiment can be classified as either positive or negative, it can be considered one of the general classification problems. For sentiment analysis, the text must be converted into a language that can be recognized by a computer. Therefore, text such as a word or document is transformed into a vector in natural language processing called word embedding. Various techniques, such as Bag of Words, TF-IDF, and Word2Vec are used as word embedding techniques. Until now, there have not been many studies on word embedding techniques suitable for emotional analysis. In this study, among various word embedding techniques, Bag of Words, TF-IDF, and Word2Vec are used to compare and analyze the performance of movie review sentiment analysis. The research data set for this study is the IMDB data set, which is widely used in text mining. As a result, it was found that the performance of TF-IDF and Bag of Words was superior to that of Word2Vec and TF-IDF performed better than Bag of Words, but the difference was not very significant.

• Journal of Korean Elementary Science Education
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• v.21 no.1
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• pp.61-70
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• 2002

The purpose of this study was to examine whether or not they have been revised corresponding to the purpose of revision by making a comparative analysis of the content and illustration in the 6th and 7th primary science textbooks. The analysis of content was composed of knowledge, inquiry process and attitude. The analysis of illustrations was composed of the kinds of illustrations and the role of illustrations. The findings of this research were as follows: First, as a result of content analysis of the primary science textbooks in the 6th and the 7th national curriculum, the ratio of inquiry process showed the highest frequency, next knowledge and lastly scientific attitude. And the 7th textbooks are greatly emphasized knowledge and science attitude. Second, as a results of the illustration analysis are as follows: There are conspicuous differences in that the illustration number of the 7th science textbooks Is about twice the illustration number of the 6th science textbooks and next, they place more weights on pictures and comics hard to discovery in the 6th science textbooks. Therefore, they have tried to induce the interests of students and heighten their understanding by supplementing the role of illustration presented as picture-centered and increasing its number presented as picture. In the results, although they have improved the problems of the 6th national curriculum a lot through the innovation including the interest induction of pupils through comics, the development of its content presentation method, the gradual change of subject number and the cultivation of curriculum according to the level of enrichment and supplementing types, the 7th science textbooks have fallen short of 6.3%, not around 30% in terms of the reduction in the 7th national curriculum. Accordingly, the 7th science textbooks also can be pointed out to have the problems of too much amount of studying compared to the time per week like the 6th science textbooks.

• Korean Institute of Interior Design Journal
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• v.27 no.3
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• pp.41-48
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• 2018

This thesis is a paper comparing Adolf Loos and Antoni Gaudí's 'theory of ornament', based on their text. Adolf Loos and Antoni Gaudí are architects who had worked from late 19c, just before advent of Modernism architecture, to early 20c. When 'ornament' had started to be excluded from architecture according to development of industrialization and capitalism, Loos and Gaudí have both written about 'ornament.' Generally, Loos is known to have possessed rational mind and designed modern building with no ornament, and Gaudí is known to have possessed romantic mind and used splendid ornaments. For those reasons, it was assumed that two architects would have contrast opinions regarding ornaments. However, analysis of two architects' major text reveals that their theories of ornament are fundamentally analogous. Loos and Gaudí both argue dissolution of past normative 'ornament' and claims that rational 'ornament' that fits modern time is possible. Interestingly, intentionally adopted ornaments exist considerably in architecture of Loos. On the other hand, in Gaudí's architecture, there are many points where Gaudí had restrained ornaments. This thesis organizes similarity and differences of two architects' 'theory of ornament' through their texts and works. Moreover, this thesis suggests that then today's architecture aims to restart a debate on 'ornament', it is worth reviewing texts of Loos and Gaudí.

• East Asian Economic Review
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• v.18 no.4
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• pp.425-461
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• 2014

This paper analyzes the impact of the Canada-Korea Free Trade Agreement on the basis of the published text and agreed schedule of commitments. We find that the Agreement reinforces existing patterns of comparative advantage between Canada (agriculture and resource-based sectors) and Korea (autos and other industries). The sensitive sectors that held up the deal for years - autos into Canada and beef into Korea - witness major trade gains, but are not unduly disrupted. In both economies, the major output gains otherwise come in non-traded services sectors, driven by income effects. We find that trade diversion effects are quite significant; this lends support for the domino theory of major free trade agreements - since the Korea-EU agreement broke the ice, the pressure has intensified on third parties to re-level playing fields by striking their own deals. The study breaks new ground in modelling services trade by developing policy impacts based on the extent to which the text of the Agreement modifies Korea's and Canada's scores on the OECD's Services Trade Restrictiveness Index and by providing estimates of Mode 3 Services trade impacts. The analysis of the Agreement as negotiated, the present study, in our view, is a step forward in understanding the impact of modern free trade agreements.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.94-105
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• 2022

The purpose of this study is to suggest improvement plan for a commentary on figure skating in Korea from comparing to NBCSN and MBC's coverage of the 2018 Pyungchang Olympic Games employing both of quantitative and text analysis. Results indicate that NBCSN and MBC's commentary on figure skating have definitely different characteristics in terms of expertise and dramatizing ability. The commentator of MBC frequently used monotonous and repetitive emotional expression and provided incoherent information in very automatic way. Whereas, NBCSN's comments expressed very diverse way on introduction of players, explanation of technique and evaluation, especially on dramatizing ability to contextualize combining players' performance and background information.

• Journal of Information Technology Services
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• v.19 no.4
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• pp.85-107
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• 2020

The Internet of Things market, a technology that connects the Internet to various things, is growing day by day. Besides, various smart home services using IoT and AI (Artificial Intelligence) are being launched in homes. Related to this, existing smart home-related studies focus primarily on ICT technology, not on what service improvements should be made in customer positions. In this study, we will use smart home application customer review data to classify functional and design elements of smart home usability value and examine the ways customers think of service improvement. For this, LG Electronics and Samsung Electronics" Smart Home application, the main provider of Smart Home in Korea, customer reviews were crawled to conduct a comparative analysis between them. In this study, the review of IoT home-applications was analyzed to find service improvement insights from customer perspective, and related analysis of text mining, social network analysis and Doc2vec was used to efficiently analyze data equivalent to about 16,000 user reviews. Through this research, we hope that related companies effectively seek ways to improve smart home services that reflect customer needs and are expected to help them establish competitive strategies by identifying weaknesses and strengths among competitors.

• Genomics & Informatics
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• v.20 no.3
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• pp.26.1-26.19
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• 2022

Diabetes and its related complications are associated with long term damage and failure of various organ systems. The microvascular complications of diabetes considered in this study are diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy. The aim is to identify the weighted co-expressed and differentially expressed genes (DEGs), major pathways, and their miRNA, transcription factors (TFs) and drugs interacting in all the three conditions. The primary goal is to identify vital DEGs in all the three conditions. The overlapped five genes (AKT1, NFKB1, MAPK3, PDPK1, and TNF) from the DEGs and the co-expressed genes were defined as key genes, which differentially expressed in all the three cases. Then the protein-protein interaction network and gene set linkage analysis (GSLA) of key genes was performed. GSLA, gene ontology, and pathway enrichment analysis of the key genes elucidates nine major pathways in diabetes. Subsequently, we constructed the miRNA-gene and transcription factor-gene regulatory network of the five gene of interest in the nine major pathways were studied. hsa-mir-34a-5p, a major miRNA that interacted with all the five genes. RELA, FOXO3, PDX1, and SREBF1 were the TFs interacting with the major five gene of interest. Finally, drug-gene interaction network elucidates five potential drugs to treat the genes of interest. This research reveals biomarker genes, miRNA, TFs, and therapeutic drugs in the key signaling pathways, which may help us, understand the processes of all three secondary microvascular problems and aid in disease detection and management.