• Asian Journal for Public Opinion Research
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• v.5 no.4
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• pp.266-284
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• 2018

This paper adopts the big data research method, and draws 491 data from the Tianya Forum about the Simultaneous Renting and Purchasing policy of Guangzhou. The qualitative analysis software Nvivo11 is used to cluster the main questions about the Simultaneous Renting and Purchasing policy in the forum. The 36 high-frequency word frequencies are obtained through text clustering. Through rooted theory analysis, the main driving factors for summarizing people's doubts are 9 main categories, 3 core categories, and the model of driving factors for online forums is established. The study finds that resource factors are the most key factor, economic factors are the important drivers, and policy guiding factors are sub-important drivers.

• The Research Journal of the Costume Culture
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• v.14 no.2
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• pp.192-205
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• 2006

This study first aims on preparing a systematic analysis basis for the expression aspects of hairstyle in forms of postmodernism. Secondly, it studies the meanings and aspects the hairstyle trend through a post modernism approach about its expression methods based on the suggestive collection hairstyles. Third, it confirms that hairstyle is also one of fashion that can be represented as modern society and culture by explaining that post modernism appears in hairstyles. This study analyzes the expression aspects of hairstyle in forms of post modernism that appears in modern collections by preparing theoretical theories for this study based on former studies related to post modernism theory and clothes from a qualitative analysis. The results of this study prepared a theoretical analysis frame to study the expression aspects of hairstyle in forms of postmodernism first. Secondly, as a result of analyzing based on the analysis, they show that disoriginality of hairstyle can be freely interpreted by the author through borrowing and restoration, disformation through discord and incompletion, discenterization through non-westernization and sub-culture, and inter-text through many symbols and meanings. Thirdly, as the postmodernism movement that represents modern society, culture, and art movement is reflected on hairstyle, it can be considered as a small culture and a product of the era.

• Journal of vocational education research
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• v.33 no.3
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• pp.83-104
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• 2014

The study examined the trends of research on Meister high schools in Korea. The study also investigated differences of research interests between the university faculty and graduate students who are the future researchers in this field. A total of 56 research articles were analyzed using the network text analysis method and the content analysis. The results showed that 56% of all studies was done to reveal the distinguishable characteristics of Meister students and teachers compared to their counterpart in vocational schools. 17.6% of studies were about school curriculum, while 14.0% of studies were on school organization and operation. Only 12.3% of studies were conducted to evaluate school performance. Quantitative studies outnumbered qualitative ones. Based on the results, this study suggested implications for policies and future research on meister high school.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.1
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• pp.89-109
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• 2024

The study analyzed the research trends of domestic and international record information services from 2003 to 2022. A total of 136 academic papers registered in the Korea Citation Index (KCI) and 74 from the Library, Information Science & Technology Abstracts (LISTA) were examined by quantitative and qualitative content analysis to understand the research status of 20 years from various angles, such as publication year, research type, researcher type, subject, and purpose. Frequency analysis, co-occurrence frequency analysis, centrality analysis, and topic modeling were performed by applying text mining techniques. Results showed that domestic papers demonstrated a research flow focused on specific institutions or records, and user-centered satisfaction surveys and content-centered studies were conducted. Moreover, foreign papers confirmed various evaluation-oriented and information provision studies, such as data, resources, and collections, along with the research trend focusing on the relationship between archivists and users. The management of information resources was identified as a common topic in both domestic and foreign papers, but it is possible to identify that domestic research focuses on maintaining the quality of domestic information resources, while foreign research focuses on the storage and retrieval of information.

• The Journal of Society for e-Business Studies
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• v.20 no.4
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• pp.19-39
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• 2015

Internet of Things (IoT) is expected to provide efficiency and convenience in human life by integrating the Internet into the things that we use in daily lives. IoT can not only create new businesses but also can bring great changes in our lives thanks to the various ways of technical application: defining relationships among things or automatic use of technology by analyzing the usage pattern. This study uses the qualitative research of interviewing the experts to predict the changes that IoT technology is expected to bring in our lives. In addition, this paper analyzes news articles about internet of things in Korea using text-network analysis. This study also discusses the factors which need to be considered to put IoT into successful use in business contexts.

• Journal of Information Technology Services
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• v.14 no.2
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• pp.159-176
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• 2015

As a public medium and one of the big data sources that is accumulated informally and real time, online news comments or replies are considered a significant resource to understand mentalities of article readers. The comments are also being regarded as an important medium of WOM (Word of Mouse) about products, services or the enterprises. If the diffusing effect of the comments is referred to as the degrees of agreement and disagreement from an angle of WOM, figuring out which characteristics of the comments would influence the agreements or the disagreements to the comments in very early stage would be very worthwhile to establish a comment-based eWOM (electronic WOM) strategy. However, investigating the effects of the characteristics of the comments on eWOM effect has been rarely studied. According to this angle, this study aims to conduct an empirical analysis which understands the characteristics of comments that affect the numbers of agreement and disagreement, as eWOM performance, to particular news articles which address a specific product, service or enterprise per se. While extant literature has focused on the quantitative attributes of the comments which are collected by manually, this paper used text mining techniques to acquire the qualitative attributes of the comments in an automatic and cost effective manner.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.2
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• pp.181-188
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• 2018

In this paper, we propose an analysis scheme of customer spending pattern using text mining. In proposed consumption pattern analysis scheme, first we analyze user's rating similarity using Pearson correlation, second we analyze user's review similarity using TF-IDF cosine similarity, third we analyze the consistency of the rating and review using Sendiwordnet. And we select the nearest neighbors using rating similarity and review similarity, and provide the recommended list that is proper with consumption pattern. The precision of recommended list are 0.79 for the Pearson correlation, 0.73 for the TF-IDF, and 0.82 for the proposed consumption pattern. That is, the proposed consumption pattern analysis scheme can more accurately analyze consumption pattern because it uses both quantitative rating and qualitative reviews of consumers.

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.23-39
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• 2013

Objectives: This study was conducted to investigate practical experiences of telemedicine of community health practitioners(CHPs). Methods: Qualitative data were collected by in-depth interviews from 10 CHPs who have experiences in managing telemedicine system. All interviews were recorded and transcribed according to qualitative conventional content analysis processes. Results: As a result, 32 themes were deduced and 11 theme clusters and 3 categories were formed and each coding categories were derived directly from the text data. 11 theme clusters derived from the 32 meaningful themes were as follows: Human resources, equipments and systems, computer program (Input resources), human resource management, patient registration and management, medication, laboratory test (Progress), benefits in telemedicine system managing, difficulties in telemedicine system managing, complains in telemedicine system managing, client responses to telemedicine system (Outcome evaluation). 3 categories derived 11 theme clusters were 'input', 'progress', and 'outcome evaluation'. Conclusions: This study has contributed to the understanding of operation of telemedicine by CHPs in community health posts. For more systematic and comprehensive management, further study should be conducted to reflect experience and positions of public health center physicians, collaborative hospital physician and patients.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.35-53
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• 2023

This study attempts to identify the flow of key topics and issues of research trends related to environment-friendly agriculture conducted around the 2000s in South Korea and compare them with the environment-friendly agriculture promotion plan to seek the level of consistency and the direction of future development of environment-friendly agriculture. For the analysis of environment-friendly agriculture research trends and policy consistency, 'topic modeling', which is suitable for subject classification of large amounts of unstructured data, and 'text network analysis', which visualizes the relationship between keywords as a network and interprets its characteristics, were utilized. Overall, active discussions were held on 'technical discussions for the production and cultivation of environment-friendly agricultural products' and 'food safety & consumer awareness', and keywords such as production, cultivation, consumption, and safety were consistently linked to other keywords regardless of time. In addition, it was found that the issue of environment-friendly agriculture was partially consistent with the policy direction of the period. Considering the fact that the ongoing '5th Environment-Friendly Agriculture Promotion Phase' emphasizes the strengthening of rural environment management and aims to ensure the continuous quantitative and qualitative development of environment-friendly agriculture, active discussions and research on its environmental contributions and management methods are needed.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.77-89
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• 2022

Purpose: In order to improve the audit quality of a company, an in-depth analysis is required to categorize the audit report in the form of a text document containing the details of the external audit. This study introduces a systematic methodology to extract keywords for each group that determines the differences between groups such as 'audit plan' and 'interim audit' using audit reports collected in the form of text documents. Methods: The first step of the proposed methodology is to preprocess the document through text mining. In the second step, the documents are classified into groups using machine learning techniques and based on this, important vocabularies that have a dominant influence on the performance of classification are extracted. In the third step, the association rules for each group's documents are found. In the last step, the final keywords for each group representing the characteristics of each group are extracted by comparing the important vocabulary for classification with the important vocabulary representing the association rules of each group. Results: This study quantitatively calculates the importance value of the vocabulary used in the audit report based on machine learning rather than the qualitative research method such as the existing literature search, expert evaluation, and Delphi technique. From the case study of this study, it was found that the extracted keywords describe the characteristics of each group well. Conclusion: This study is meaningful in that it has laid the foundation for quantitatively conducting follow-up studies related to key vocabulary in each stage of auditing.