• 제목/요약/키워드: Analysis of Related Words

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동통 평가도구 개발을 위한 연구 -한국 통증 어휘별 강도 순위의 유의도 및 신뢰도 검사- (A Study for Development of a Korean Pain Measurement Tool(II). A Study for Testing Ranks of Words in each Subclass of a Korean Pain Measurement Tool)

  • 이은옥;송미순
    • 대한간호학회지
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    • 제13권3호
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    • pp.106-118
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    • 1983
  • The main purpose of this study is to systematically classify words indicating pain in terms of their ranks in each subclass. This study is a part of developing a Korean Pain Measurement Tool. This study didnot include exploration of each word's dimension such as sensory or affective. Eighty three Korean words tentatively classified in 19 subclasses in previous study were used for this study. At least three to six words were included in each subclass and the words were randomly placed in which each subject indicates their rank of pain degree. One hundred and fifty nursing students and one hundred clinical nurses were requested to indicate the rank of each word. One hundred and sixteen students and eighty three nurses completed the ratings for analysis. The data were collected from June 1983 to July 1983. The data using ordinal scale were analyzed by Friedman ANOVA to test significant difference between rank means. All of pain words indicated significant rank mean difference in all of 19 subclasses. Some of the words were either cancelled or replaced by other words, or rearranged for their ranks. Subclasses of which words were cancelled were 1) Simple stimulating pain, 2) Punctuate pressure, 3) peripheral nerve pain, 4) radiation pain, 5) punishment-related pain, and 6) suffering-related pain. Subclasses of which words were replaced or rearranged were 1) incisive pressure, 2) constrictive pressure, 3) dull pain, 4) tract pain, 5) digestion-related pain and 6) fear-related pain. Four subclasses such as traction pressure, thermal, cavity pressure, and fatigue- elated pain indicated significant differences among rank means in each subclasses and showed no visible overlaps of the ranks among means. Further research is needed using high level measurement of pain degree of each word and more sophisticated analysis of the pain degrees. Three pain words which would be related to chemical stimulation were newly explored and included as a new subclass. Through this study, the total number of subclasses increases from 19 to 20 and the total number of Korean words in the scale decreases from 83 to 80.

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Research Trends Analysis on ESG Using Unsupervised Learning

  • Woo-Ryeong YANG;Hoe-Chang YANG
    • 융합경영연구
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    • 제11권3호
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    • pp.47-66
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    • 2023
  • Purpose: The purpose of this study is to identify research trends related to ESG by domestic and overseas researchers so far, and to present research directions and clues for the possibility of applying ESG to Korean companies in the future and ESG practice through comparison of derived topics. Research design, data and methodology: In this study, as of October 20, 2022, after searching for the keyword 'ESG' in 'scienceON', 341 domestic papers with English abstracts and 1,173 overseas papers were extracted. For analysis, word frequency analysis, word co-occurrence frequency analysis, BERTopic, LDA, and OLS regression analysis were performed to confirm trends for each topic using Python 3.7. Results: As a result of word frequency analysis, It was found that words such as management, company, performance, and value were commonly used in both domestic and overseas papers. In domestic papers, words such as activity and responsibility, and in overseas papers, words such as sustainability, impact, and development were included in the top 20 words. As a result of analyzing the co-occurrence frequency of words, it was confirmed that domestic papers were related mainly to words such as company, management, and activity, and overseas papers were related to words such as investment, sustainability, and performance. As a result of topic modeling, 3 topics such as named ESG from the corporate perspective were derived for domestic papers, and a total of 7 topics such as named sustainable investment for overseas papers were derived. As a result of the annual trend analysis, each topic did not show a relatively increasing or decreasing tendency, confirming that all topics were neutral. Conclusions: The results of this study confirmed that although it is desirable that domestic papers have recently started research on consumers, the subject diversity is lower than that of overseas papers. Therefore, it is suggested that future research needs to approach various topics such as forecasting future risks related to ESG and corporate evaluation methods.

의미네트워크를 활용한 초등학교 예비교사들의 물질 개념체계 분석 (An Analysis of Conceptual Structure in the Subjects related to Matter of Elementary School Pre-service Teachers using SNA Method)

  • 김도욱
    • 한국초등과학교육학회지:초등과학교육
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    • 제37권1호
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    • pp.39-53
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    • 2018
  • The purpose of this study was to investigate the conceptual structure of subjects related to matter having pre-service elementary school teachers by applying semantic network analysis (SNA). The analyzed concepts in the subjects of matter were 6 words such as 'atom', 'molecule', 'ion', 'electron', 'matter' and 'particle'. The results of SNA of the concepts are as follows : 1. In the semantic network of 'atom', words having a high betweenness centrality were linked with the words based on both the scientific context and the everyday context. 2. The network of 'molecule' was analyzed to be more organized than the network of the 'atom'. 3. In the network of 'ion', the group of words of the scientific context was distinguished from the group of words of the everyday context. 4. The network of 'electron' was analyzed to be more oriented on electricity and magnetism in the field of physics. 5. In the network of 'matter', the words related to compounds were linked with knowledge of history of science. 6. The network of 'particle' was not structured with words based on particulate nature of matter.

Exploring Major Keyword & Relationship in the Studies of Hotel Employees Using Semantic Network Analysis Methods

  • Kim, Jeong-O;Kwon, Choong-Hoon
    • 한국컴퓨터정보학회논문지
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    • 제24권7호
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    • pp.135-141
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    • 2019
  • The purpose of this study is to extract the key words from the list of research subjects related to 'hotel workers' published in recent 10 years(2009~2018) by using the language network analysis method and to confirm the relation between the key words. In this paper, we propose a semantic network analysis that can overcome limitations of longitudinal study, analyze the recent research trends, and widely use as a research model. The results of this study are as follows ; First, in analyzing major key words in the title of 'Hotel Employer' in recent 10 years, the major keyword of job satisfaction(40), special grade(26), organizational commitment(20), emotional labor(19), service(12), restaurant(10), and turnover intention(9). Second, we analyzed the relation of language network among major key words extracted from the study title of 'hotel workers'. Such a research process is expected to grasp the trends of research related to 'hotel workers' and give implications for the future direction of related research.

『황제내경(黃帝內經) · 소문(素問)』의 개념어(槪念語)와 논지(論旨) 분석(分析) - 구체성과 관념성을 중심으로 - (Analysis of words related with medical concept and context of paragraphs in Suwen of Huang Di Nei Jing based on concreteness and ideality)

  • 송영승;김은하
    • 대한한의학원전학회지
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    • 제26권4호
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    • pp.43-70
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    • 2013
  • Objective : analysis of words related with medical concept and context of paragraphs in Suwen of Huang Di Nei Jing based on concreteness and ideality. Method : First, I extract words having medical concept out of the whole sentence of Huang Di Nei Jing. and classifies them according to the type of medical concept. Second, I classify all sentence of it on the basis of analysing of the words. Result : 1. There are not an interrelationship between the abstract and concrete words from the perspective of cause and effect. Abstract words group are divided into two different parts according to the fundamental character. There are the concept being formed from pure idea and the concept being formed from material idea. The main words composed most important part of the oriental medicine have a combination mode with these two word groups. 2. We have several data about concreteness and ideality of Huang Di Nei Jing. Subjects and contents in provisions are concrete relatively. But the logical basis of sentences is remarkably ideational. Many kinds of abstract words are used dominantly to compose logics of these basis. It confirms that concrete words can not be used to make theories and concepts in Suwen. Conclusion : I analyzed words related with medical concept and context of paragraphs in Suwen of Huang Di Nei Jing based on concreteness and ideality and I found that the concept and logical system of Huang Di Nei Jing in the objective point of view.

A Study on the Smart Tourism Awareness through Bigdata Analysis

  • LEE, Song-Yi;LEE, Hwan-Soo
    • 산경연구논집
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    • 제11권5호
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    • pp.45-52
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    • 2020
  • Purpose: In the 4th industrial revolution, services that incorporate various smart technologies in the tourism sector have begun to gain popularity. Accordingly, academic discussions on smart tourism have also started to become active in various fields. Despite recent research, the definition of smart tourism is still ambiguous, and it is not easy to differentiate its scope or characteristics from traditional tourism concepts. Thus, this study aims to analyze the perception of smart tourism exposed online to identify the current point of smart tourism in Korea and present the research direction for conceptualizing smart tourism suitable for the domestic situation. Research design, data, and methodology: This study analyzes the perception of smart tourism exposed online based on 20,198 news data from portal sites over the past six years. Data on words used with smart tourism were collected from the leading portal sites Naver, Daum, and Google. Text mining techniques were applied to identify the social awareness status of smart tourism. Network analysis was used to visualize the results between words related to smart tourism, and CONCOR analysis was conducted to derive clusters formed by words having similarity. Results: As a result of keyword analysis, the frequency of words related to the development and construction of smart tourism areas was high. The analysis of the centrality of the connection between words showed that the frequency of keywords was similar, and that the words "smartphones" and "China" had relatively high connection centrality. The results of network analysis and CONCOR indicated that words were formed into eight groups including related technologies, promotion, globalization, service introduction, innovation, regional society, activation, and utilization guide. The overall results of data analysis showed that the development of smart tourism cities was a noticeable issue. Conclusions: This study is meaningful in that it clearly reflects the differences in the perception of smart tourism between online and research trends despite various efforts to develop smart tourism in Korea. In addition, this study highlights the need to understand smart tourism concepts and enhance academic discussions. It is expected that such academic discussions will contribute to improving the competitiveness of smart tourism research in Korea.

소셜 네트워크 분석을 활용한 항공서비스 품질 비교 (Comparisons of Airline Service Quality Using Social Network Analysis)

  • 박주현;이현철
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.116-130
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    • 2019
  • This study investigates passenger-authored online reviews of airline services using social network analysis to compare the differences in customer perceptions between full service carriers (FSCs) and low cost carriers (LCCs). While deriving words with high frequency and weight matrix based on the text analysis for FSCs and LCCs respectively, we analyze the semantic network (betweenness centrality, eigenvector centrality, degree centrality) to compare the degree of connection between words in online reviews of each airline types using the social network analysis. Then we compare the words with high frequency and the connection degree to gauge their influences in the network. Moreover, we group eight clusters for FSCs and LCCs using the convergence of iterated correlations (CONCOR) analysis. Using the resultant clusters, we match the clusters to dimensions of two types of service quality models ($Gr{\ddot{o}}nroos$, Brady & Cronin (B&C)) to compare the airline service quality and determine which model fits better. From the semantic network analysis, FSCs are mainly related to inflight service words and LCCs are primarily related to the ground service words. The CONCOR analysis reveals that FSCs are mainly related to the dimension of outcome quality in $Gr{\ddot{o}}nroos$ model, but evenly distributed to the dimensions in B&C model. On the other hand, LCCs are primarily related to the dimensions of process quality in both $Gr{\ddot{o}}nroos$ and B&C models. From the CONCOR analysis, we also observe that B&C model fits better than $Gr{\ddot{o}}nroos$ model for the airline service because the former model can capture passenger perceptions more specifically than the latter model can.

아동의 자기효능감 및 아동이 지각한 부모의 양육태도와 창의성과의 관계 (Relationships between Children's Self-Efficacy, Parental Child-Rearing Attitude Perceived by the Child and Creativity)

  • 장혜선;최보가
    • 대한가정학회지
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    • 제43권3호
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    • pp.59-73
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    • 2005
  • The purpose of this study was to investigate the relationships between children's self-efficacy, parental child-rearing attitude perceived by the child, and creativity. The study subjects were 120 5th and 6th graders at elementary school in Gyeongbuk. The instruments of measurement were question sheets, Self-Efficacy Scale, and Parental child-rearing attitude Scale. For creative thinking tests, the Kim Yong-Chae version of TTCT (Torrance Test of Creative Thinking) was used. The data were analysed through mean, standard deviation, frequency, percentile, Cronbach's $\alpha$, and Pearson's Correlation Coefficient. The major findings of this study were as follows: First, the results from the correlational analysis didn't yield significant and meaningful correlations between children's self-efficacy and thinking creatively with words. Nevertheless, children's self-efficacy was partly related to thinking creatively with pictures. Second, the results from the correlational analysis didn't yield significant and meaningful correlations between warmth vs. rejection altitude of father and thinking creatively with words. Warmth vs. rejection attitudes of father was not related to thinking creatively with pictures. However, the results from the correlational analysis yielded a number of significant and meaningful correlations between self-control vs. regulation attitudes of father and the thinking creatively with words. The self-control vs. regulation attitudes of father was significantly positively related to the thinking creatively with pictures. Third, the warmth vs. rejection attitudes of mother was significantly positively related to the thinking creatively with words. However the warmth vs. rejection attitudes of mother was not related significantly to the thinking creatively with pictures. The self-control vs. regulation attitudes of mother was not related to the thinking creatively with words. Moreover, self-control vs. regulation attitudes of mother was not related to the thinking creatively with pictures.

A Study on the Recognition Analysis of Participants in Urban Regeneration Project Using Text Network Analysis Technique (NetMiner): Focused on the Urban Regeneration Leading Area in Suncheon-City

  • Gim, Eo-Jin;Koo, Ja-Hoon
    • International Journal of Advanced Culture Technology
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    • 제7권4호
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    • pp.246-254
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    • 2019
  • The purpose of this study is to analyze the issues related to urban regeneration project at the present time through surveys and interviews of participants in the urban regeneration leading project of Suncheon city. Most of the comments were related to business fragmentation and things that should be improved in the future. The text network technique is applied to the subject analysis using unstructured text data. As a result of the frequency of appearance and analysis of page rank centrality between words, words of 'parking', 'need', 'lack', 'region' and 'resident' appeared at the top, and the result of analyzing the mediation centrality of key words showed 'culture', 'Need', 'region', 'inflow' and 'lack' appeared at the top. In the network analysis, the most central words appeared, and many words appeared in the important position in the sentence. Text network analysis has provided timely results in terms of sustainability after completion of the Suncheon City Regeneration Leading Project..

당뇨병 환자의 건강정보이해능력 측정을 위한 기초 연구 (A study on the measuring health literacy in patients with diabetes in Korea)

  • 강수진;심강희;장수정;이미숙
    • 보건교육건강증진학회지
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    • 제33권5호
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    • pp.47-57
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    • 2016
  • Objectives: To develop and evaluate the applicability of a health literacy instrument in patients with diabetes by measuring their ability to understand diabetes-related words. Methods: Diabetes-related words were extracted from the Korean Diabetes Association's website and literature reviews. In the first phase, three nursing researchers evaluated 2,661 diabetes-related words based on graded lexical vocabularies and what patients need to know about self-care, and the narrowed them to 255 words. In the second phase, a content validity assessment was conducted by an expert panel. In the third phase, the remaining 25 words were administered to 200 conscientious with type 2 patients aged 40 years old and using a Gallup survey from March 3 to 17, 2016 in Seoul, Korea. Descriptive analysis and Rasch analysis were performed to test psychometric properties. Results: The mean score was 21.47 with a range of 0 to 25. The Cronbach's ${\alpha}$ was .92. The health literacy instrument using diabetes-related words had a ceiling effect response. Conclusions: Diabetes-related words are useful and reliable items for testing the health literacy of diabetes patients. Future study is needed to develop and validate health literacy measures for diabetic patients.