• Korean Journal of Adult Nursing
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• v.19 no.3
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• pp.365-378
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• 2007

Purpose: The purpose of present study was to discover the experience of the body of aged women, having had disease. Thus, the researcher tried to explore the perception of the informants and the context in which this perception emerged. Methods: 9 aged women who had disease or trauma were recruited by snow balling and theoretical sampling methods. The iterative data collection and analyzing process proceeded between September, 1999 and January, 2005. Questions posed to the informants included: "What major change in your body comes from the disease?" "How did you feel about yourself after having had disease?". Data from interviews and participant observation was taken as text. The text was analyzed using the ongoing process of qualitative content analysing method and taxonomy of Spradley. Results: Disease gives aged women a chance to reinforce the meaning of their body: the body as the most low valued component of a human, the body as a wholistic field of interacting each component of human and with natural environment and cosmos, and the body as a source of group identity. These meanings were constructed in their life world by the rules of hierarchy, reciprocity, and group cohesiveness. Conclusions: The human body is constructed as a cultural being by a social process. Nursing is concerned with the biological body and the social body. The results of this study can serve to help understand the socialization of the body and to construct a somology of nursing.

• Journal of the Korean Society for information Management
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• v.17 no.1
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• pp.129-148
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• 2000

Experiments were performed on three subsets of a Korean test collection in order to determine whether 2-Poisson model's Z value is a good measure for selecting subject words from a document to be indexed. It was found that subject word selection based on the Z value was effective for only one subset with short texts, i.e., the Science and Technology subset. Correlation analyses between 2-Poisson model's Z and TF.IDF weight for the three subsets showed that the correlation was relatively high for two test subsets with short texts, i.e., the Science and Technology subset and the Newspaper subset.

• Journal of Multimedia Information System
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• v.1 no.1
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• pp.55-67
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• 2014

Image topic and emotion analysis is an important component of online image retrieval, which nowadays has become very popular in the widely growing social media community. However, due to the gaps between images and texts, there is very limited work in literature to detect one image's Topics and Emotions in a unified framework, although topics and emotions are two levels of semantics that often work together to comprehensively describe one image. In this work, a unified model, Joint Topic/Emotion Multi-Modal Hierarchical Latent Dirichlet Allocation (JTE-MMHLDA) model, which extends previous LDA, mmLDA, and JST model to capture topic and emotion information at the same time from heterogeneous data, is proposed. Specifically, a two level graphical structured model is built to realize sharing topics and emotions among the whole document collection. The experimental results on a Flickr dataset indicate that the proposed model efficiently discovers images' topics and emotions, and significantly outperform the text-only system by 4.4%, vision-only system by 18.1% in topic detection, and outperforms the text-only system by 7.1%, vision-only system by 39.7% in emotion detection.

• The KIPS Transactions:PartB
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• v.19B no.1
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• pp.37-42
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• 2012

The pseudo relevance feedback suggests that frequent words at the top documents are related to initial query. However, the main drawback associated with the term frequency method is the fact that it relies on feature independence, and disregards any dependencies that may exist between words in the text. In this paper, we propose query expansion based on word graph using term proximity. It supplements term frequency method. On TREC WT10g test collection, experimental results in MAP(Mean Average Precision) show that the proposed method achieved 6.4% improvement over language model.

• The Journal of Information Systems
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• v.20 no.3
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• pp.63-79
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• 2011

Deducting the risk level of infrastructure and buildings based on past human disaster risk cases and implementing prevention measures are important activities for disaster prevention. The object of this study is to measure the confidence to proceed quantitative analysis of various disaster risk cases through text mining methodology. Indeed, by examining confidence calculation process and method, this study suggests also a basic quantitative framework. The framework to measure the confidence is composed into four stages. First step describes correlation by categorizing basic elements based on human disaster ontology. Secondly, terms and cases of Term-Document Matrix will be created and the frequency of certain cases and terms will be quantified, the correlation value will be added to the missing values. In the third stage, association rules will be created according to the basic elements of human disaster risk cases. Lastly, the confidence value of disaster risk cases will be measured through association rules. This kind of confidence value will become a key element when deciding a risk level of a new disaster risk, followed up by preventive measures. Through collection of human disaster risk cases related to road infrastructure, this study will demonstrate a case where the four steps of the quantitative framework and process had been actually used for verification.

• Culinary science and hospitality research
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• v.23 no.8
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• pp.195-205
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• 2017

The purpose of this study was to compare the Starbucks in South Korea with Starbucks in U.S.A through the semantic network analysis of big data by collecting online data with SCTM(Smart Crawling & Text Mining) program which was developed by big data research institute at Kyungsung University, a data collecting and processing program. The data collection period was from January 1st 2014 to December 7th 2017, and packaged Netdraw along with UCINET 6.0 were utilized for data analysis and visualization. After performing CONCOR(convergence of iterated correlation) analysis and centrality analysis, this study illustrated the current characteristics of Starbucks for Korea and U.S.A reflected by the social network and the differences between Korea and U.S.A. Since the Starbucks was greatly developed, especially in Korea. this study also was supposed to provide significant and social-network oriented suggestions for Starbucks USA, Starbucks Korea and also the whole coffee industry. Also this study revealed that big data analytics can generate new insights into variables that have been extensively studied in existing hospitality literature. In addition, implications for theory and practice as well as directions for future research are discussed.

• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.74-75
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• 2017

In this paper, we analyzed 3,668 papers of JKIICE from 2007 to 2016 using text mining methods for understanding research fields. We used web scraping programs of Python language for data collection, and utilized topic modeling methods based on LDA algorithm implemented by R language. In the results, we verified that representative research areas of JKIICE could be downsized to 9 areas only by the analysis though the submission areas were 19 areas by 2016.

• Journal of Information Management
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• v.41 no.4
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• pp.69-91
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• 2010

Libraries are encountering hostile conditions around journal licensing such as limited budget, the high price of packages, and vendor-led negotiation. They need to collect and analyze usage data of electronic journals to develop electronic journal collection appropriate for their own circumstances. The purpose of this study is to suggest an practical guideline for librarians' analysis of electronic journal usage statistics. For this, the study reviewed related previous studies and examined current state on usage statistics provided from COUNTER release 3 compliant vendors. Finally this study proposed five core statistics including full-text article request per journal, journal using rate, price per full-text article request, most use group, and low use group, and further discussed how to use them effectively for the electronic journal management.

• The Journal of Korean Medical History
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• v.32 no.1
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• pp.77-86
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• 2019

The Diary of Muk-Jae is a historical record that describes many social aspects of the Joseon period in the 16th century. It records many scenes of its author, Lee Mun-Geon, treating patients. This paper uses The Diary of Muk-Jae to examine changes in the perception of the concept of cold damage and the text of the Shanghanlun (Treatise on Cold Damage) in the Joseon period in the 16th century. In The Diary of Muk-Jae, cold damage is understood in connection with two categories: 'dangerous disease' and 'disease caused by cold'. The Diary of Muk-Jae also presents the Shanghanlun not as a work limited to the concept of cold damage, but as a medical text that could be widely used for many different diseases. Thus, The Diary of Muk-Jae may represent a point of transition between in the perception of cold damage as seen in the Uibang Yuchui (The Collection of Medical Procedures) of the 15th century and the Donguibogam of the 17th century.