• Journal of Information Processing Systems
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• v.3 no.1
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• pp.33-37
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• 2007

Semantic clustering is important to various fields in the modem information society. In this work we applied the Independent Component Analysis method to the extraction of the features of latent concepts. We used verb and object noun information and formulated a concept as a linear combination of verbs. The proposed method is shown to be suitable for our framework and it performs better than a hierarchical clustering in latent semantic space for finding out invisible information from the data.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.3
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• pp.153-158
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• 2015

Nowadays, automatic keyphrase extraction is considered to be an important task. Most of the previous studies focused only on selecting keyphrases within the body of input documents. These studies overlooked latent keyphrases that did not appear in documents. In addition, a small number of studies on latent keyphrase extraction methods had some structural limitations. Although latent keyphrases do not appear in documents, they can still undertake an important role in text mining because they link meaningful concepts or contents of documents and can be utilized in short articles such as social network service, which rarely have explicit keyphrases. In this paper, we propose a new approach that selects qualified latent keyphrases from input documents and overcomes some structural limitations by using deep belief networks in a supervised manner. The main idea of this approach is to capture the intrinsic representations of documents and extract eligible latent keyphrases by using them. Our experimental results showed that latent keyphrases were successfully extracted using our proposed method.

• International Journal of Quality Innovation
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• v.6 no.2
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• pp.147-166
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• 2005

The purpose of this study is to analyze the causal relationship, in the perspective of Total Quality Management, among the education quality factors, which were suggested in the previous researches. Lee et al. [16] had tried to analyze the relationship among education factors, but they did not estimate the education factor using latent variable concept, which is very reasonable and efficient to represent the constructed concepts. So this study attempts to analyze the causal relationship among education quality factors, represented as latent variables used in structural equation modeling (SEM), and compared with each other. In this study, education quality factors were measured by several measures, constructed as several latent variables, and then processed with AMOS, the most efficient statistical package in the SEM area. In order to analyze the causal relationship among the education quality factors constructed as latent variables, this study designed the structural equation model with suggested factors and established several research hypotheses. This study discovered a prominent causality among the education quality factors, such as education leadership, student scholastic performance and satisfaction of education quality, which is similar to that of previous research. This outcome is really a unique Korean syndrome manifest within our educational career orientation.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.180-185
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• 2015

As the number of document resources is continuously increasing, automatically extracting keyphrases from a document becomes one of the main issues in recent days. However, most previous works have tried to extract keyphrases from words in documents, so they overlooked latent keyphrases which did not appear in documents. Although latent keyphrases do not appear in documents, they can undertake an important role in text summarization and information retrieval because they implicate meaningful concepts or contents of documents. Also, they cover more than one fourth of the entire keyphrases in the real-world datasets and they can be utilized in short articles such as SNS which rarely have explicit keyphrases. In this paper, we propose a new approach that selects candidate keyphrases from the keyphrases of neighbor documents which are similar to the given document and evaluates the importance of the candidates with the individual words in the candidates. Experiment result shows that latent keyphrases can be extracted at a reasonable level.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.178-183
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• 2009

Online image dictionary has become more and more popular in concepts cognition. However, for existing online systems, only very few images are manually picked to demonstrate the concepts. Currently, there is very little research found on automatically choosing large scale online images with the help of semantic analysis. In this paper, we propose a novel framework to utilize community-generated online multimedia content to visually illustrate certain concepts. Our proposed framework adapts various techniques, including the correlation analysis, semantic and visual clustering to produce sets of high quality, precise, diverse and representative images to visually translate a given concept. To make the best use of our results, a user interface is deployed, which displays the representative images according the latent semantic coherence. The objective and subjective evaluations show the feasibility and effectiveness of our approach.

• Journal of the Korean Institute of Landscape Architecture
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• v.21 no.3
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• pp.35-49
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• 1993

The purpose of this study is to establish some concepts, objects, and methodologies which are essential components in the theoretical inquiry of Landscape Architectural Criticism(LAC), and to explore the structure of LAC. Theough comparing the artistic characteristics of landscape architecture with the latent criticism in it, and introducing some important concepts of criticism and aesthetics, the concept of LAC is defined operationally. And through grasping changes of the definitions and concepts about landscpae architecture, and classifying the fields of it which are related to critical structure, the objects of LAC are established. According to Virgil C. Aldrich and many other aestheticians, general aspects of criticism are divided into $\circled1$analysis, $\circled2$ evaluation, $\circled3$interpretation, and $\circled4$description. Through these aspects and Wayne Attoe's opinion(which seemed to be generalized in architectural), the pertinent methodologies of LAC are explored.

• Korea journal of population studies
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• v.24 no.2
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• pp.47-78
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• 2001

The primary purpose of this paper is to critically examine the theoretical and methodological issues in the study of generations. The issues include: 1) the concept of generation: 2) the basis of generational formation: 3) internal differentiation of generations: 4) the boundary problems of generations: 4) the boundary problems of generations: and 5) generational differences and generational conflict. From the investigation of these issues, two conclusions are drawn. Firstly, Mannheim's basic concepts and theoretical frameworks are very useful to understand and explain the social movements and sociocultural changes. Secondly, however, further elaboration and modification of the several concepts and frameworks are needed to deal with the problems of generations in general which are not directly connected to social movements. Several points are suggested to elaborate Mannheim's frameworks, which include the reconceptualization of generation, and introducing the concepts of “generation sects” and “manifest-latent generational conflicts”.

• Nuclear Engineering and Technology
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• v.56 no.1
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• pp.340-356
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• 2024

Bridging traditional experts' disciplinary boundaries is important for nuclear knowledge management systems. However, expert competences are often described in unstructured texts and require substantial human effort to link related competences across disciplines. The purpose of this research is to develop and evaluate a natural language processing approach, based on Latent Semantic Analysis, to enable the automatic linking of related competences across different disciplines and communities of practice. With datasets of unstructured texts as input training data, our results show that the algorithm can readily identify nuclear domain-specific semantic links between words and concepts. We discuss how our results can be utilized to generate a quantitative network of links between competences across disciplines, thus acting as an enabler for identifying and bridging communities of practice, in nuclear and beyond.

• IE interfaces
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• v.19 no.2
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• pp.140-152
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• 2006

Today, many companies realize that the effort to develop new products / services faster that customers want and continue to purchase is crucial for their survival. As the service sector is rapidly growing, one of the challenges faced by the service industries is the lack of effective methodologies for new service development. This paper proposes a systematic framework for developing new service concepts, with an emphasis on generating innovative, convergence-type service concepts from the customer‘s perspective. The framework consists of three phases-identification of customer needs (Phase I), extraction of new service opportunities (Phase II), and generation of new service concepts (Phase III). The proposed framework is demonstrated through a case study in the telecommunications industry. In the case study, a survey was conducted on ten customers to identify the latent customer needs; 61 new service opportunities were extracted; and 129 new service concepts were generated.

• Journal of the Korean Society of Food Culture
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• v.35 no.5
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• pp.417-425
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• 2020

There is a growing global interest in food choices that could affect health. Consumer food choices are dictated by numerous factors such as attitudes, beliefs, desires and preferences stemming from psychological and physiological attributes. The present study aimed to understand consumers' internal perceptions about cream soup, cream sauce, and tomato sauce using ZMET (Zaltman's Metaphor Elicitation Technique). The 9 step ZMET interview process was conducted for a sample of 36 consumers (12 consumers for each sauce). A content analysis of the survey results was carried out. From this, 56 concepts of cream soup were derived, and 15 constructs that met with the agreement of more than one-third of the total sample consumers were extracted. These 15 constructs included 'Soft', 'Recollection', 'Familiar', 'Warm', 'Comfortable', etc. Similarly, for cream sauce, 67 concepts and 20 constructs 'Silky', 'Warm', 'Restaurant', 'Family', 'Memory', etc. were deduced. A total of 66 concepts and 20 constructs for tomato sauce 'Sourness', 'Sauce Bottle', 'Pleasant', 'Ingredient', 'Cooking', etc. were derived. The analysis of consumers' consensus maps through this study provides a deep and useful understanding of consumers and their latent needs. Also, the results of this study indicate that exploring consumers' internal perceptions is critical to understanding their healthy food choices. This can be used as basic data for formulating marketing strategies.