• 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 Distribution Science
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• v.21 no.10
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• pp.97-107
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• 2023

Purpose: The primary objective of the present study is to investigate the contribution of retail beauty workers toward improving 'Green Supply Chain Management' (GSCM) within the beauty sector, and to address the following research inquiry: What are the responsibilities and contributions of retail beauty workers in the promotion and implementation of GSCM practices within the beauty industry? Research design, data, and methodology: The research methodology for this study was employed in investigating the current literature dataset and conducting qualitative literature analysis (Peer-reviewed journal articles and books). This study provides a comprehensive account of the data collection procedure and clear process employed for data analysis. Results: According to the qualitative textual analysis based on comprehensive literature analysis, the crucial aspects of retail beauty workers' contribution to enhancing GSCM within the beauty industry are following: (1) Promote green products, (2) provide green customer education, (3) Provision of environmental friendly services, and (4) Involvement in reducing green waste. Conclusions: All in all, through this process, four distinct roles were identified, which retail beauty workers can assume to facilitate the implementation of GSCM practices. This entails effectively advocating for environmental friendly products to customers by showcasing their value, attractiveness, and appropriateness in meeting customers' requirements and preferences.

• CELLMED
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• v.14 no.2
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• pp.2.1-2.10
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• 2024

Through big data analysis of the 'Joseonwangjosilok', this study examines the perception of ginseng among the ruling class and its utilization during the Joseon era. It aims to provide foundational data for the development of ginseng into a high-value cultural commodity. The focus of this research, the Joseonwangjosilok, comprises 1,968 volumes in 948 books, spanning a record of 518 years. Data was collected through web crawling on the website of the National Institute of Korean History, followed by frequency analysis of significant words. To assess the interest in ginseng across the reigns of 27 kings during the Joseon era, ginseng frequency records were adjusted based on years in power and the number of articles, creating an interest index for comparative rankings across reigns. Analysis revealed higher interest in ginseng during the reigns of King Jeongjo and King Yeongjo in the 18th century, King Sunjo in the 19th century, King Sejong in the 15th century, King Sukjong in the 17th century, and King Gojong in the 19th century. Examining the temporal emergence and changes in ginseng during the Joseon era, general ginseng types like insam and sansam had the highest frequency in the 15th century. It appears that Korea adeptly utilized ceremonial goods in diplomatic relations with China and Japan, meeting the demand for ginseng from their royal and aristocratic societies. Processed ginseng varieties such as hongsam and posam, along with traded and taxed ginseng, showed peak frequency in the 18th century. This coincided with increased cultivation, allowing a higher supply and fostering the development of ginseng processing technologies like hongsam.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.93-107
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• 2014

In this paper, we report what we have observed with regard to user-perspective issue clustering based on multi-layered two-mode network analysis. This work is significant in the context of data collection by companies about customer needs. Most companies have failed to uncover such needs for products or services properly in terms of demographic data such as age, income levels, and purchase history. Because of excessive reliance on limited internal data, most recommendation systems do not provide decision makers with appropriate business information for current business circumstances. However, part of the problem is the increasing regulation of personal data gathering and privacy. This makes demographic or transaction data collection more difficult, and is a significant hurdle for traditional recommendation approaches because these systems demand a great deal of personal data or transaction logs. Our motivation for presenting this paper to academia is our strong belief, and evidence, that most customers' requirements for products can be effectively and efficiently analyzed from unstructured textual data such as Internet news text. In order to derive users' requirements from textual data obtained online, the proposed approach in this paper attempts to construct double two-mode networks, such as a user-news network and news-issue network, and to integrate these into one quasi-network as the input for issue clustering. One of the contributions of this research is the development of a methodology utilizing enormous amounts of unstructured textual data for user-oriented issue clustering by leveraging existing text mining and social network analysis. In order to build multi-layered two-mode networks of news logs, we need some tools such as text mining and topic analysis. We used not only SAS Enterprise Miner 12.1, which provides a text miner module and cluster module for textual data analysis, but also NetMiner 4 for network visualization and analysis. Our approach for user-perspective issue clustering is composed of six main phases: crawling, topic analysis, access pattern analysis, network merging, network conversion, and clustering. In the first phase, we collect visit logs for news sites by crawler. After gathering unstructured news article data, the topic analysis phase extracts issues from each news article in order to build an article-news network. For simplicity, 100 topics are extracted from 13,652 articles. In the third phase, a user-article network is constructed with access patterns derived from web transaction logs. The double two-mode networks are then merged into a quasi-network of user-issue. Finally, in the user-oriented issue-clustering phase, we classify issues through structural equivalence, and compare these with the clustering results from statistical tools and network analysis. An experiment with a large dataset was performed to build a multi-layer two-mode network. After that, we compared the results of issue clustering from SAS with that of network analysis. The experimental dataset was from a web site ranking site, and the biggest portal site in Korea. The sample dataset contains 150 million transaction logs and 13,652 news articles of 5,000 panels over one year. User-article and article-issue networks are constructed and merged into a user-issue quasi-network using Netminer. Our issue-clustering results applied the Partitioning Around Medoids (PAM) algorithm and Multidimensional Scaling (MDS), and are consistent with the results from SAS clustering. In spite of extensive efforts to provide user information with recommendation systems, most projects are successful only when companies have sufficient data about users and transactions. Our proposed methodology, user-perspective issue clustering, can provide practical support to decision-making in companies because it enhances user-related data from unstructured textual data. To overcome the problem of insufficient data from traditional approaches, our methodology infers customers' real interests by utilizing web transaction logs. In addition, we suggest topic analysis and issue clustering as a practical means of issue identification.

• The Journal of Industrial Distribution & Business
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• v.12 no.7
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• pp.15-25
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• 2021

Purpose: The greatest asset to all organizations is the employees and they should be guarded against factors hindering their work ability. Nevertheless, most organizations are always more concerned about making profits to the extent of forgetting their employee's welfare. On this point, this study aims to examine employee's work-related stress and its relationship with work ability. Research design, data and methodology: This study focused on obtaining mostly peer-reviewed works to suggest research findings, assuming that qualitative literature approach allows researchers to explore in-depth information concerning complex issues in a standard life setting. Numerous prior researchers applied their research design in content analysis, especially where various concepts are present for analysis. Results: Based on numerous qualitative textual resources, this study found that human resource practitioners should plan stress management strategies for their employees to apply five kinds of solutions that the current study suggests because it is vital to ensure their wellbeing towards sustaining their performance. Conclusions: All in all, based on the findings, this study concludes that employee's work stress negatively impacts their work ability with affecting their mental health. As a result, there is little doubt that practitioners should regularly monitor the working environment for stress-related factors besides creating a healthy working environment for all employees.

• Journal of Korean Library and Information Science Society
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• v.35 no.1
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• pp.135-154
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• 2004

This study is a physical and textual analysis on an epigraph, the Stone Epitaph of Hong Jeong-Myeong(홍정명 지석). This was edited by Lee Deuk-Sin and transcribed by Gang Se-Hwang. On the view of physical point the Stone Epitagh is made of black stone and its size is 27.8∼28.2cm high, 20.3∼20.7cm wide, and 2.0∼3.6cm thick. On the view of textual point, the text of Stone Epitaph is about the career of Hong Jeong-Myeong, and the printed style of writing is by depressed engraving on 8 black stone plane.

• Journal of Korean Library and Information Science Society
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• v.34 no.1
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• pp.195-215
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• 2003

This study is a bibliographical analysis on the Nam-Chungjanggong-sigo(남충장공시고), a wooden block printed book. On the view of physical bibliography, a table of contents on the Nam-Chungjanggong-sigo is compiled by a preface, a Chungjanggong's poetical works, an extra appendixes and an epilogue; and its wooden printing block has made of 52 plates. On the row of textual bibliography, text of Chungjanggong's poetical works is revised second times, such as each title or text, also title and text; and shorten for verses. And some of verses are prepared for revised the same case of compilation, but omitted in the process of last compilation.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.652-657
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• 2018

With the rapid development of e-commerce, many customers can now express their opinion on various kinds of product at discussion groups, merchant sites, social networks, etc. Discerning a consensus opinion about a product sold online is difficult due to more and more reviews become available on the internet. Opinion Mining, also known as Sentiment analysis, is the task of automatically detecting and understanding the sentimental expressions about a product from customer textual reviews. Recently, researchers have proposed various approaches for evaluation in sentiment mining by applying several techniques for document, sentence and aspect level. Aspect-based sentiment analysis is getting widely interesting of researchers; however, more complex algorithms are needed to address this issue precisely with larger corpora. This paper introduces an approach of knowledge representation for the task of analyzing product aspect rating. We focus on how to form the nature of sentiment representation from textual opinion by utilizing the representation learning methods which include word embedding and compositional vector models. Our experiment is performed on a dataset of reviews from electronic domain and the obtained result show that the proposed system achieved outstanding methods in previous studies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1648-1654
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• 2007

The purpose of this study is to understand how the reality show program spread into global with a variety effects on social and cultural phenomenon, and textual analysis of TV reality show program 'Scandals' with a specific status. As a result of this study shows that TV reality show program 'Scandals' involves in a characteristic and a diversity of TV genre. On the other hand, textual analysis of TV reality show program 'Scandals' is about understanding the situation which create meaning in TV industry with a negative aspects of phenomenon. More over, TV industry creates lower cultural aspects of situation relate in someway to the target audiences to whom they are aimed.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.63-74
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• 2023

This study compared news coverage of national and international disasters, Hurricane Katrina and the Haiti Earthquake, using textual analysis of The New York Times and The Washington Post. The results reveal that media framing of the historical cases developed in three stages upon the development of post-disaster relief: (1) Call for humanitarian assistance; (2) New Orleans under anarchy and hopelessness vs. Haiti under scrutiny with hope; and (3) Katrina effects. By framing the outcomes of the hurricane as the "Katrina effect," the media used the disaster as a reference point to explain other economic and political issues. In addition, analysis of relevant statements and press releases confirmed that different social actors involved in the relief process, such as donors, facilitators, and beneficiaries, contributed to the media framing of the issue, although the facilitators were most successful in transferring their own frames to media frames. This study makes important contributions to the field as it looks beyond traditional relationships between quantitative measures of media attention and aid allocation. For governmental and nongovernmental organizations in the area of humanitarian assistance, the findings of this study will assist them in media-relations in the future.