• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.215-231
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• 2023

Taking Pingjiang historical and cultural block in Suzhou as an example, this paper collects 1436 tourist comment data from Ctrip. com with Python technology, and uses network text analysis method to analyze frequency words, semantic network and emotion, so as to evaluate the tourist perception characteristics and levels of the Grand Canal cultural heritage. The study found that: natural and humanistic landscapes, historical and cultural deposits, and the style of the Jiangnan Canal are fully reflected in the perception of visitors to the Pingjiang Historical and Cultural District; Tourists hold strong positive emotions towards the Pingjiang Road historical and cultural district, however, there is still more space for the transformation and upgrading of the district. Finally,suggestions for measures to improve the perception of tourists of the Grand Canal cultural heritage are given in terms of conservation first, cultural integration and innovative utilization.

• Journal of Elementary Mathematics Education in Korea
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• v.14 no.3
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• pp.681-700
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• 2010

These days, the importance of the mathematics interaction is strongly emphasized, which leads to the need of research on how the interaction is being practiced in the math class and what can be the desirable interaction in terms of mathematical thinking. To figure out the correlation between the mathematical interaction patterns and mathematical thinking, it also classifies mathematical thinking levels into the phases of recognizing, building-with and constructing. we can say that there are all of three patterns of the mathematics interactions in the class, and although it seems that the funnel pattern is contributing to active interaction between the students and teachers, it has few positive effects regarding mathematical thinking. In other words, what we need is not the frequency of the interaction but the mathematics interaction that improves students' mathematical thinking. Therefore, we can conclude that it is the focus pattern that is desirable mathematics interaction in the class in the view of mathematical thinking.

• The Research Journal of the Costume Culture
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• v.20 no.2
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• pp.195-207
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• 2012

In South Korea, the growth of online shopping malls that are overtaking traditional offline distributors in sales requires the latter to concentrate on developing a variety of contents amidst the ever-changing and competitive market environment. First of all, attention should be paid to information on fashion item materials. This study examined the current status of online shopping malls with a focus on their three different types-specialized malls, general malls, and open markets-and investigated consumers' hedonic shopping motives and influence on fashion materials in terms of purchasing behavior. In doing so, this study surveyed men and women in their 20s-30s residing in Seoul or its surrounding cities and used a total of 255 questionnaires for statistical analysis. The statistical software program SPSS 15.0 was used to conduct frequency analysis, factor analysis, reliability analysis, and multiple regression analysis. The study results showed that in general and specialized shopping malls, consumers granted greater reliability and importance to fashion materials when their interest in shopping or attention to fashion items/brands was high and when they wanted rare items. In open markets, the more interest consumers had in shopping and the more sensitive they were to fashion information, the more dependent they were on prices; in other words, prices were found to have a greater influence on their purchase decisions than the quality of fashion materials. The findings of this study would be useful to marketers and distributors who are trying to develop their marketing strategies based on fashion material information, according to the different types of online shopping malls.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.6
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• pp.1499-1506
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• 2017

The use of smartphones and the launch of various apps have increased exponentially, and malicious apps have also increased. Existing app recommendation systems have been limited to operate based on static information analysis such as ratings, comments, and popularity categories of other users who are online. In this paper, we first propose a robust app recommendation system that realistically uses dynamic information of apps actually used in smartphone and considers static information and dynamic information at the same time. In other words, this paper proposes a robust Android app recommendation system by partially reflecting the time of the app, the frequency of use of the app, the interaction between the app and the app, and the number of contact with the Android kernel. As a result of the performance evaluation, the proposed method proved to be a robust and efficient app recommendation system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.548-556
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• 2019

The purpose of this study is to analyze the impact of dietary lifestyles and demographic characteristics on the Brand image of restaurants with Nutritional labeling to provide basic marketing data for establishing differentiated Brand image strategies for restaurant businesses. To that end, the SPSS21.0 (ver.) program, frequency analysis, descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple linear regression analysis were conducted to verify the hypothesis. As a result, the Brand image of restaurants with Nutritional labeling improved as the metropolitan area sought safety, non-capital area sought taste, males sought health, and females sought safety. In terms of age, it was analyzed that as more people in their 20s sought taste, those their 30s and 40s sought safety, and both married and unmarried people sought safety, the Brand image of restaurants with Nutritional labeling improved. In other words, it could be seen that people with Dietary lifestyles who pursued health and safety had positive images of restaurants with Nutritional labeling regardless of residential area, age, gender, marital status, or whether they had children.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.43-51
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• 2022

The purpose of this study is to provide basic information necessary for the establishment of mobile service marketing strategies, educational service development, and engineering education for Generation Z by analyzing the utilitization of various applications by Gen Z. To this end, 177 essays on mobile service usage experience were collected, major topics were analyzed using topic modeling, and these were visualized through word cloud analysis. As a result of the study, the main topics were related to 'transportation' such as movement and public transportation, 'personal management' such as schedule management, financial management, food management, 'transaction' such as checkout, meeting, purchase, 'leisure' such as eating out, travel, study, culture. Additionally, words such as time, thought, people, life, bus, information, confirmation, payment, KakaoTalk, and so on were found to have a high of frequency of use. Also, there was found to be a difference between topics by college. This study is meaningful in that it collected essays, which are unstructured data, and analyzed them through topic modeling.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.107-132
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• 2024

This study attempted to analyze newspaper articles related to May 18 through frequency analysis and network analysis using news data related to May 18 for about 30 years from 1990 to 2022 at the Korea Press Foundation's Big Kinds. Specifically, quantitative change trends were examined by analyzing the amount of articles by period and region, and the connection structure between major keywords by the regime was explored through network analysis by regime using co-appearance keywords. As a result of the analysis, it was found that 2019 had the largest amount of coverage, which had many social issues in time, and the Jeolla-do region had the largest amount of coverage in the region. And as a result of network analysis, there were differences in words related to May 18 in news data according to the perception and policy of the regime toward May 18. As a result of synthesizing the analysis of May 18 news data, it was confirmed that May 18 was becoming a democratic movement over time regardless of region, but at the same time, the distortion of May 18 was not resolved.

• Korean journal of food and cookery science
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• v.27 no.1
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• pp.33-42
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• 2011

The purposes of this study were to understand the influence of brand personality-self image congruence in quick service restaurants on customer satisfaction and to empirically analyze whether or not customers' brand identification plays a moderating role between brand personality-self image congruence and customer satisfaction. Based on a total of 478 samples obtained from empirical research from June 10 to June 16, 2010, self-administered questionnaires were completed by patrons in a metropolitan area, and data were analyzed based on frequency, exploratory factor analysis, reliability analysis, correlation analysis, and hierarchical regression analysis. Results of the study were as follows: From the factor analysis of brand personality and self-image, 5 factors, i.e. sophistication (5 items), competence (5 items), likability (5 items), trendiness (5 items), and ruggedness (5 items) were extracted. The results show that trendiness (${\beta}$=-0.151) among brand personality-self image congruence had a significant positive effect on customer satisfaction. Further, customers' brand identification (${\beta}$=0.645) had a significant positive effect on customer satisfaction. In addition, the effect of brand personality-self image congruence (only, likability ${\times}$ brand identification; ${\beta}$=0.245) in quick service restaurants on customer satisfaction was found to be partially moderated by customers' brand identification. In other words, the findings show that customers wanted to identify with a specific brand because it provides a means to continue transactions with the brand if it corresponds with their self-image or if the overall image of the brand is favorable. Limitations and future research directions are also discussed.

• Korean Institute of Interior Design Journal
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• v.22 no.5
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• pp.171-178
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• 2013

In this study, we sought to find out the effect of different emotional interior images of the community facilities in an apartment complex on a youth brain wave by analyzing an Electroencephalograph (EEG). Based on the frequency of usage, we selected learning facilities, cultural facilities, and sport facilities. For brain stimulation, the visual stimulants with three different emotional words, cheerful, gentle, and elegant, were used based on I.R.I image scale. Overall, total nine different emotional images were used. Based on our findings, we conclude that: first, in order to improve learning concentration of the youth, a learning facility for the youth needs to be designed by skillfully combining the soft and comfortable colors from the gentle image and the murky and dark colors from the elegant image. Second, when designing a cultural facility, it is preferable to consider the elegant image for a calm and comfortable space. Third, a sport facility design needs to preclude dark colors and apply light colors to create a dynamic and lively space. Furthermore, we found out that the youth has established static images of each functionally different facility through their experience and learning. Therefore, it is imperative to plan community facilities in an apartment complex in a way to connect the space function with the emotional characteristics of the youth in order to support and encourage energetic activities and learning of the community youth.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.191-213
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• 2019

The process of obtaining scientific knowledge is conducted through research. Researchers deal with the uncertainty of science and establish certainty of scientific knowledge. In other words, in order to obtain scientific knowledge, uncertainty is an essential step that must be performed. The existing studies were predominantly performed through a hedging study of linguistic approaches and constructed corpus with uncertainty word manually in computational linguistics. They have only been able to identify characteristics of uncertainty in a particular research field based on the simple frequency. Therefore, in this study, we examine pattern of scientific knowledge based on uncertainty word according to the passage of time in biomedical literature where biomedical claims in sentences play an important role. For this purpose, biomedical propositions are analyzed based on semantic predications provided by UMLS and DMR topic modeling which is useful method to identify patterns in disciplines is applied to understand the trend of entity based topic with uncertainty. As time goes by, the development of research has been confirmed that uncertainty in scientific knowledge is moving toward a decreasing pattern.