• International Journal of Advanced Culture Technology
• /
• 제12권2호
• /
• pp.221-226
• /
• 2024

This study used text mining, a big data analysis technique, to explore XR trends in South Korea. For this research, I utilized a big data platform called BigKinds. I collected data focusing on the keyword 'XR', spanning approximately 14 years from 2010 to 2024. The gathered data underwent a cleansing process and was analyzed in three ways: keyword trend analysis, relational analysis, and word cloud. The analysis identified the emergence and most active discussion periods of XR, with XR devices and manufacturers emerging as key keywords.

• 대한간호학회지
• /
• 제10권2호
• /
• pp.21-40
• /
• 1980

In order to take cue of the dying persons and their survivors in a more positive and affirmative atti-tube. and to understand the valuable meaning of and dying. a survey was performed to 550 cases of health care personnels including 116 nursing students. 238 medical students. 137 nurses. and 59 doctors. Samplings were made through census Procedure from the entire group of medical and nursing students in College of Medicine. Chung-Ang University. and of licenced nurses and doctors in Chung-Ang University Hospital. and in Han-Gang Sacred Heart Hospital from the first to the end of march. 1980. These collected data were computerized at KIST by SPSS programming and were statistically analyzed by chi-square test. Through content analysis of the word associated with death and descriptive analysis of the death-re-lated variables. the following conclusion in is reached. First. Total numbers of death-word percieved by health care personnels were 198 kinds. Among them, 40 kinds of words associated with death were responded from than 1% of the total. As to the 10 death related word responded by free word association method. it was revealed that individual average number of death related word was 7.70 word. which came from higher number of words in the senior students (8.96 word) or the graduates (8.10 word) compared with the freshman (6.84 word). Second. In Content specific analysis of the death related word. more frequently perceived types summarized as the following order; the affective context of death. the diseases. the disasters. the religion, the funeral ceremonies. the separation, the drakness. and the life. Third. The most prevalent 10 words associated with death which the the respondents gave response to the the first recalling word. were as following o order； the dieases. the sadness, the vanity. the darkness, the frustration. the suicide. the incurable dieases, the graves. the dead. and the catastrophes. By sex, the diease is outstanding in females, but the vanity is in males. By occupation. the vanity and the dead was frequently observed in student group including senior students. while the incurable dieases presented by doctors. Fourth. In health care personnels. the first perceived ages of death were 11.47 $\pm$3.33 years (8.14- 15.80 years). Among them. senior students were inclined to percept death at the earliest age of life (11.28years). while doctors and nurses perceived death later in their life (12.98 years). Fifth, It is revealed in this survey that the most frequently responded death perceiving motives by health care personnels ar“psychological conflict”and“death of those around them”. Death perceiving motives can be classified in two factors; personality and life circumstances. Sixth It is of interest that only 11.3% health care personnels was found to feel death as inevitable or acceptable event. whereas 58.3% deny or reject it.

• 유통과학연구
• /
• 제14권8호
• /
• pp.77-86
• /
• 2016

Purpose - The purpose of this study is to measure the effect of reputation in culture oriented market on revisit intention and word of mouth(WOM) effects for Traditional Market. Research design, data, and methodology - 5 point Likert-scale has been adopted for this study designed based on previous study. Used SPSS ver.23, factor analysis & Cronbach's alpha, correlation, regression test were made. 277 samples were used for analysis. Results - Tourist satisfaction as an element that affects on revisit intention and word of mouth effects for traditional Market. Their goods images and impressions from experience of traveling and purchasing keep in mind and be another place and story to talk others. Culture is an important factor that maintains and regenerates cities and cities should be perceived as cultural places instead of simple physical places. Culture was associated with higher revisit and word of mouse intentions for traditional market. The tourists can select a new places and visit the market if it has a special culture and special food which people can like and enjoy even they do not have regional brand image. Conclusions - Tourist satisfaction of users in traditional markets and their revisit intentions and the results indicated that higher customer satisfaction was associated with higher revisit and word of mouse intentions. Culture factors will be the motive to find out peoples a hometown in heart.

• 한국산업정보학회논문지
• /
• 제17권1호
• /
• pp.21-29
• /
• 2012

In this paper, we propose a new method to select colors representing the meaning of text contents based on the cognitive relation between words and colors, Our method is designed on the previous study revealing the existence of crucial words to estimate the colors associated with the meaning of text contents, Using the associative probability of each color with a given word and the strength of color association of the word, we estimate the probability of colors associated with a given text. The goal of this study is to propose a system to recommend the cognitively plausible colors for the meaning of the input text. To build a versatile and efficient database used by our system, two psychological experiments were conducted by using news site articles. In experiment 1, we collected 498 words which were chosen by the participants as having the strong association with color. Subsequently, we investigated which color was associated with each word in experiment 2. In addition to those data, we employed the estimated values of the strength of color association and the colors associated with the words included in a very large corpus of newspapers (approximately 130,000 words) based on the similarity between the words obtained by Latent Semantic Analysis (LSA). Therefore our method allows us to select colors for a large variety of words or sentences. Finally, we verified that our system cognitively succeeded in proposing the colors associated with the meaning of the input text, comparing the correct colors answered by participants with the estimated colors by our method. Our system is expected to be of use in various types of situations such as the data visualization, the information retrieval, the art or web pages design, and so on.

• 한국안전학회지
• /
• 제36권5호
• /
• pp.61-70
• /
• 2021

This study aimed to analyze the research trends of the abstract data of ergonomic studies registered in MEDLINE, a medical bibliographic database, using word embedding. Medical-related ergonomic studies mainly focus on work-related musculoskeletal disorders, and there are no studies on the analysis of words as data using natural language processing techniques, such as word embedding. In this study, the abstract data of ergonomic studies were extracted with a program written with selenium and BeutifulSoup modules using python. The word embedding of the abstract data was performed using the word2vec model, after which the data found in the abstract were vectorized. The vectorized data were visualized in two dimensions using t-Distributed Stochastic Neighbor Embedding (t-SNE). The word "ergonomics" and ten of the most frequently used words in the abstract were selected as keywords. The results revealed that the most frequently used words in the abstract of ergonomics studies include "use", "work", and "task". In addition, the t-SNE technique revealed that words, such as "workplace", "design", and "engineering," exhibited the highest relevance to ergonomics. The keywords observed in the abstract of ergonomic studies using t-SNE were classified into four groups. Ergonomics studies registered with MEDLINE have investigated the risk factors associated with workers performing an operation or task using tools, and in this study, ergonomics studies were identified by the relationship between keywords using word embedding. The results of this study will provide useful and diverse insights on future research direction on ergonomic studies.

• 한국정보시스템학회지:정보시스템연구
• /
• 제30권2호
• /
• pp.1-27
• /
• 2021

Purpose Even if many startups firms have developed innovative items and a potential for success, they often have a limited financial resources, which makes them difficult to do business. To overcome this financial difficulty, startups have used one of fintech services, called crowdfunding that can be a good alternative to solving the difficulty of financing. The purpose of this study is to empirically validate the proposed research model that investigates the reasons of trusting crowdfunding platform, which positively leads to two outcomes - intention to participate and word-of-mouth for reward-based crowdfunding project. Design/methodology/approach We proposed several factors categorized as trust, information quality, and platform traits that have a positive impact on trust of crowdfunding platform, which positively leads to intention to participate and word-of-mouth of crowdfunding. The collected(n=285) from individuals who have participated in crowdfunding project was analyzed with SmartPLS 3.0 to test proposed hypotheses. Findings The results showed that all proposed variables (website reputation, crowdfunding familiarity, digital storytelling, information quality, and interaction) had a significant impact on crowfunding platform trust with exception of product differentiation. In addition, crowfunding platform trust was positively associated with participating intention and word-of-mouth. Based on findings, we discussed the research results and implication alone with a direction for future studies.

• 한국콘텐츠학회논문지
• /
• 제18권7호
• /
• pp.10-27
• /
• 2018

본 연구에서는 텍스트 마이닝 분석을 통해 한국 사회에서 행복과 불행이 갖는 의미를 탐색하였다. 자료수집 및 분석을 위하여 온라인 뉴스 포털에서 Word2Vec과 TF-IDF 방법을 사용하여 '행복' 및 '불행' 키워드와 유사한 단어를 추출했다. 또한 K-LIWC 사전을 사용하여 행복 및 불행과 연관된 단어들의 감성 속성에 대해 알아보았다. TF-IDF 분석 결과, 행복과 불행은 사회적 요인과 해당 년도의 사회적 이슈들과 각각 높은 관련성이 있는 것으로 관찰됐다. Word2Vec 분석에서는 '희망'이 6년 연속으로 행복과 유사성이 높은 단어로 나타났다. K-LIWC 분석에서 '돈재정적이슈', '학교', '의사소통'은 행복 및 불행과 모두 관련성이 높았다. 그밖에 '몸 상태와 증상'이 불행과 높은 관련성이 있는 범주로 나타났다. 이러한 결과를 바탕으로 본 연구의 의의, 제한점 및 후속연구에 대한 필요성을 논의하였다.

• 수면정신생리
• /
• 제27권1호
• /
• pp.16-23
• /
• 2020

목 적 : 나이가 들수록 수면의 질은 나빠진다고 알려져 있으며 수면의 질과 인지기능 사이의 관계를 조사한 전향적 연구는 현재까지 거의 없었다. 본 연구에서는 60세 이상의 지역사회 노인을 대상으로 6년 동안 추적 조사한 자료를 바탕으로 초기 수면의 질과 인지기능 사이의 관련성을 알아보고자 하였다. 방 법 : 본 연구에서는 60세 이상의 지역사회 노인 622명을 대상으로 하였고 최종 분석에는 322명의 노인이 포함되었다. 다음과 같은 임상척도가 사용되었다. 피츠버그 수면질 척도(Pittsburgh sleep quality index, PSQI)와 한국판 신경심리 평가집(Korean version of Consortium to Establisha Registry for Alzheimer's Disease, CERAD-K). 초기 수면의 질과 6년 이후의 인지기능의 관련성을 평가하기 위해 다중 선형 회귀분석을 시행하였다. 결 과 : 초기 수면의 질(PSQI)은 6년 이후의 숫자 외우기 검사(digit span test), 시계그리기 검사(CLOX 1), 단어 목록 회상 검사(word recall test)의 결과와 유의한 관련성이 있었다. 수면의 질이 좋을수록(β = -0.167, p = 0.026) 숫자외우기 검사 점수가 증가했으며 수면의 질이 좋을수록(β = -0.157, p = 0.031) 시계 그리기 점수(CLOX 1)가 증가했다. 또한 수면의 질이 좋을수록(β = -0.140, p = 0.039) 단어 목록 회상 검사 점수(word recall test)가 증가했다. 결 론 : 본 연구에서 수면의 질과 유의한 관련성이 있는 나온 숫자외우기 검사(digit span test), 단어목록 회상 검사(word list recall), 시계 그리기 검사 (CLOX 1)는 임상에서 비교적 단시간 내에 간편하게 수행 할 수 있는 검사이다. 수면의 질이 낮은 노인을 대상으로 이른 시기에 인지기능을 평가하는 것은 중요하며 추후 위의 3가지 검사가 수면의 질이 낮은 노인에게 조기 치매 진단의 유용한 선별검사가 될 수 있음을 밝히는 연구가 더 진행되어야 할 것이다.

• 한국식생활문화학회지
• /
• 제25권6호
• /
• pp.764-769
• /
• 2010

The aim of this study was to examine how customers perceive storytelling at a real local restaurant and to understand how consumption reflects their evaluation by understanding their values. Participants received information from a real local restaurant in the Gangneung area to examine the effects of storytelling and to evaluate their affective attitudes towards local restaurant stories, word-of-mouth intentions, and purchasing intentions using a seven-point Likert scale. A total of 310 consumers were used. A factor analysis was performed to identify consumption value characteristics and factor structure, which consisted economic value, emotional value, and epistemic value. To test whether local restaurant consumers could be classified into homogenous groups based on their consumption values, a three cluster solution was selected, and a Kmeans cluster analysis was performed. As a result, three groups were identified and labeled appropriate for their scores based on each of the consumption values; emotional value-oriented consumers to cluster 1, epistemic value-oriented consumers to cluster 2, and economic value-oriented consumers to cluster 3. An analysis of variance was used to examine the differences in the affective attitudes towards storytelling at the local restaurant, purchasing intentions, and word-of-mouth intentions across the three clusters. The epistemic value-oriented consumers had the highest score for all three variables. In contrast, economic value-oriented consumers had the lowest scores for the three variables. A regression analysis revealed that affective attitudes towards storytelling were significantly affected by these three consumption values. It also showed that positive affective attitudes towards storytelling were associated with higher purchasing intention and word-of-mouth. The significance of this study was to show how customers perceive storytelling at a real restaurant and reflect on their evaluation by understanding their consumption values. As a result, this study examined the potential power of storytelling as an effective marketing communication tool for local restaurants.

• 융합경영연구
• /
• 제10권6호
• /
• pp.1-7
• /
• 2022

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.