• Korean journal of food and cookery science
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• v.24 no.6
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• pp.780-787
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• 2008

The principal objective of this study was to determine the effects of service quality in a Korean restaurant in a Five Star Hotel in Metropolitan city causes on customers satisfaction, revisiting intentions and word of mouth communication. As a component of the study, 344 customers who had visited restaurants at 4 hotels were selected for our Q&A research, Our investigation was conducted largely frequency analysis, reliability analysis, factor analysis, and multiple regression analysis. First, as one of our study results, factors causing effects in service quality can be categorized into human service factors, physical service factors, and menu service factors. Second, the service quality of Korean restaurants has been found to exert effects on customer satisfaction, revisiting intentions, and word-of-mouth communication. Third, customer satisfaction has been determined to exert significant effects on revisiting intentions and word of mouth communication. Fourth, customer revisiting intentions has been found have been shown to exert significant effects on word-of-mouth communication. As one of the limits of this study, some difficulties did occur when attempting to implement Q&A research on customers who enjoyed restaurant services, as there was not sufficient space to interview them. As another limit, this study was conducted only with test subjects who had visited Korean restaurants in Five Star Hotels the results of our study cannot, then, be considered represent active of all Korean restaurants. Consistent with this future studies will need to be conducted not only with Korean restaurants, but also with Japanese, Chinese, and Western restaurants.

• The Research Journal of the Costume Culture
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• v.5 no.1
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• pp.11-18
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• 1997

The purpose of this research was to ideatify and to trace the origin and meaning of jamokai(子母蓋). Comparative linguistic analytical approaches were used for the analysis of this study. Summaries of findings in this research are as follows : 1. There wese a number of phonetic value for jamokai (子母蓋) in Chinese. 2. The term, jamokai was derived from Hebrew. 3. The meaning of jamokai of Koryo was originated from Hebrew word meaning woman's veil. 4. The word jamokai was related to Perian, Arakic, Indian. 5. It is considered that tsi-ma-kai (치마개) was transliterated to tsi-m∂u-kai (子母蓋) in Chinese by the author of Keirim Yusa (鷄林類事). 6. The word jamokai (子母蓋) of Koryo was not related to Chinese.

• Proceedings of the IEEK Conference
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• 1999.11a
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• pp.1019-1022
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• 1999

In this paper, we analysis the effect of a dictionary in a handwritten Hangul word recognition problem in terms of its size and the length of the words in it. With our experimental results, we can account for the word recognition rate depending not only on character recognition performance, but also much on the amount of the information that the dictionary contains, as well as the reduction rate of a dictionary.

• The Transactions of the Korea Information Processing Society
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• v.7 no.4
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• pp.1132-1140
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• 2000

The purpose of this paper was to present the method of progress efficiency of morphosyntaxical analyzer for French information processing in the view of multilingual information processing. This study indicated that he method prohibit the additional useless word type by decomposing word type by decomposing works which were created by morphological amalgamation. Findings also suggested the need of preprocessing in order to decrease the overload of morphosyntaxical analysis algorithm. In addition, general rules were proposed to divide word form and to decompose complex sentence.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2000.06a
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• pp.33-40
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• 2000

복합명사의 한 구조는 구성 명사간의 수식관계의 집합이라고 본다. 한 복합 명사에 대하여 가능한 여러 구조 중에서 올바른 구조를 알아 내는 것이 본 논문의 목표이다. 이를 위하여 우리는 최근에 유행하는 통계 기반 분석 기법을 이용한다. 먼저 우리의 복합 명사 분석 asn제에 알맞은 통계 모델을 개발하였다. 이 모델을 이용하면 분석하려는 복합명사의 가능한 분석 구조바다 확률값을 얻게 된다. 그 다음 가능한 구조들 중에서 가장 확률값이 큰 구조를 복합구조로 선택한다. 통계 기반 기법에서 항상 문제가 되는 것이 데이터 부족문제이다. 우리는 이를 해결하기 위해 개념적 계층구조의 하나인 워드넷(WordNet)을 이용한다.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.207-225
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• 2013

Due to the development of science and technology, the convergence of various disciplines has been fostered. Accordingly, interdisciplinary studies have increasingly been expanded by integrating knowledge and methodology from different disciplines. The primary focus of biblimetric methods is on investigating the intellectual structure a field, and analysis of the characterization of interdisciplinary studies is overlooked. In this study, we aim to identify the intellectual structure of the field of medical informatics through author co-citation analysis and co-word analysis by the representative journal "IEEE ENG MED BIOL." In addition, we examine authors and MeSH Terms of top three representative journals for further analysis of the field. We examine the intellectual structure of the medical informatics field by author and word clusters to identify the network structure of medical informatics disciplines.

• Fashion & Textile Research Journal
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• v.4 no.4
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• pp.358-368
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• 2002

The purpose of this study was to examine and fully understand the transformation of female's ideal beauty based on word analysis. In order to research the understanding of female's ideal beauty, a random research was done on 438 women, ranging from the ages 10's through 60's. From the resulting poll, a frequency analysis was performed to further analyse the meaning of ideal beauty to each sector of the age group. To the teenage's beauty awareness was defined by the word "individuality", the 20's was "confident", the 30's was "elegant", the 40's was "earnestness", the 50's was "comfortable" and the 60's was "healthy". The research proved that the younger the age group, the more exterior beauty was considered, as opposed to the older generation who found inner beauty to be of most importance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.3
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• pp.410-422
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• 1997

In this paper, we descried a bottom-up document structure analysis method in bilingual Korean-English document. We proposed a character segmentation method based on the layout information of connected component of each character. In many researches, a document has been analyzed into text blocks and graphics. We analyzed a document into four parts: text, table, graphic, and separator. A text is recursively subdivided into text blocks, text lines, words, and characters. To extract the character in bilingual text, we proposed a new method of word of word separation of Korean or English. Futhermore, we used a character merging and segmentation method in accordance with the properties of Hangul on the Korean word blocks. Experimental results on the various documents show that the proposed method is very effectively operated on the document structure analysis and the character segmentation.

• Phonetics and Speech Sciences
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• v.7 no.2
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• pp.19-28
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• 2015

This study investigated final consonant error characteristics at word-medial position in children with functional articulation disorder. Data was collected from 11 children with functional articulation and 11 normal children, ages 4 to 5. The speech samples were collected from a naming test. Seventy-five words with every possible bi-consonants matrix at the word-medial position were used. The results of this study were as follows : First, percentage of correct word-medial final consonants of functional articulation disorder was lower than normal children. Second, there were significant differences between two groups in omission, substitution and assimilation error. Children with functional articulation disorder showed a high frequency of omission and regressive assimilation error, especially alveolarization in regressive assimilation error most. However, normal children showed a high frequency of regressive assimilation error, especially bilabialization in regressive assimilation error most. Finally, the results of error analysis according to articulation manner, articulation place and phonation type of consonants of initial consonant at word-medial, both functional articulation disorder and normal children showed a high error rate in stop sound-stop sound condition. The error rate of final consonant at word-medial position was high when initial consonant at word-medial position was alveolar sound and alveopalatal sound. Futhermore, when initial sounds were fortis and aspirated sounds, more errors occurred than linis sound was initial sound. The results of this study provided practical error characteristics of final consonant at word-medial position in children with speech sound disorder.