• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.346-356
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• 2012

The purpose of this study is to examine the effect of opinion leader behavior on E-learning satisfaction on the mediating role of social intelligence. For the study, opinion leader behavior were defined two groups such as information mediated behavior, influence behavior and e-learning satisfaction were defined two groups such as contents satisfaction, operation satisfaction. On the basis of theoretical linkages between the constructs, a conceptual model and hypotheses were established. Data were collected from 153 graduated students by structured questionnaires. Collected data were analyzed by PLS(Partial Least Square) statistics program and findings are as follows. Empirical results indicate that opinion leader behavior has a positive impact on opinion leader's social intelligence, social intelligence has a positive impact on E-learning satisfaction. Opinion leader's social intelligence has partially mediated effect on the relationship between opinion leader behavior and E-learning satisfaction.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.68-79
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• 2011

This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.

• The Korean Journal of Cytopathology
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• v.19 no.2
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• pp.99-106
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• 2008

Background : Second opinion diagnosis of outside pathology slides is a common practice for efficient and proper patient management. We analyzed cytology slides from outside hospitals submitted for a second opinion diagnosis to determine whether the second opinion diagnosis had any influence on patient care. Methods : We reviewed 1,153 outside cytology slides referred to Asan Medical Center for second opinions from January, 2007, to December, 2007. All cases were categorized into three groups; no diagnostic discrepancy, minor diagnostic discrepancies (no impact on the management), and major diagnostic discrepancies (significant impact on the management and subsequent follow-up). Results : The thyroid was the most common organ system (933 cases, 80.9%), Forty cases (3.6%) belonged to the major diagnostic discrepancy group and 149 cases (12.8%) to the minor discrepancy group. For validation of second opinion diagnoses in major discrepancy cases, subsequent biopsy or surgical resection specimens and clinical information were reviewed, which were available in 29 cases. The second opinion diagnoses resulted in alteration of clinical management in 21 of 29 cases. Conclusion : For all referred patients, second opinion diagnosis is important and mandatory for appropriate patient care.

• Journal of the Korean Physical Society
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• v.73 no.10
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• pp.1406-1409
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• 2018

We have frequently encountered the rapid changes that prevalent opinion of the social community is toppled by a new and opposite opinion against the pre-exiting one. To understand this interesting process, mean-field model with infinite-interaction range has been mostly considered in previous studies S. A. Marvel et al., Phys. Rev. Lett. 110, 118702 (2012). However, the mean-field interaction range is lack of reality in the sense that any individual cannot interact with all of the others in the community. Based on it, in the present work, we consider a simple model of opinion consensus so-called basic model on the low-dimensional lattices (d = 1, 2) with finite interaction range. The model consists of four types of subpopulations with different opinions: A, B, AB, and the zealot of A denoted by $A_c$, following the basic model shown in the work by S. A. Marvel et al.. Comparing with their work, we consider the finite range of the interaction, and particularly reconstruct the lattice structure by adding new links when the two individuals have the distance < ${\sigma}$. We explore how the interaction range ${\sigma}$ affects the opinion consensus process on the reconstructed lattice structure. We find that the critical fraction of population for $A_c$ required for the opinion consensus on A shows different behaviors in the small and large interaction ranges. Especially, the critical fraction for $A_c$ increases with the size of ${\sigma}$ in the region of small interaction range, which is counter-intuitive: When the interaction range is increased, not only the number of nodes affected by $A_c$ but also that affected by B grows, which is believed to cause the increasing behavior of the critical fraction for $A_c$. We also present the difference of dynamic process to the opinion consensus between the regions of small and large interaction ranges.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.101-118
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• 2023

The 'MZ generation' is accustomed to expressing their thoughts and opinions online. As a result, the role of social media in understanding the opinions and public sentiment of the MZ generation has become increasingly important. In particular, the role of social media in understanding the opinions of young people in political contexts such as policies and elections is becoming more significant. Traditionally, in such political situations, various institutions conduct opinion surveys to grasp the opinions of the people. However, existing opinion surveys have many errors and limitations in understanding the specific opinions of the entire population since they are conducted on arbitrary individuals through survey techniques. Online communities are representative social media that share the opinions of the public on specific issues such as politics, economics, and culture. Therefore, online communities are widely used as a means to supplement the limitations of traditional opinion polls. In particular, the MZ generation is familiar with online platforms, and their political support has significant influence on election results and policy decisions. With this regard, this study analyzed the relationship between the sentiment reflected in online community text data by age group on major candidates and public opinion survey support rates during the Korean presidential election for those in their 20s. The analysis showed that negative sentiments reflected in online communities by the MZ generation have a negative correlation with public opinion survey support rates. This study contributes to theory and practice by revealing a significant association between social media and public opinion polls.

• Asian Journal for Public Opinion Research
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• v.4 no.4
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• pp.205-207
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• 2017

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.549-559
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• 2000

In a few studies about product involvement there was confusion in the construct of involvement especially in association with importance. Due to the confusion of the construct unanticipated and inconsistent results were reported in some cases. So this study was mainly to identify the relationship between clothing importance and clothing involvement and also investigated the casual relationships among consumers n, value, clothing importance, clothing involvement fashion opinion leadership, and shopping behavior. The data were collected from 429 female adults using questionnaire, and were analysed with actor and path analysis. Results can be summarized as follows. First, clothing importance was the separate concept from clothing involvement, though they were closely related. Second. it was revealed that the main casual path was valuerlongrightarrowclothing importancelongrightarrowclothing involvementlongrightarrowfashion opinion leadership, shopping preference, shopping frequency, and shopping time. On the whole, the affective dimension of clothing involvement mainly affected them, and consumer's age negatively affected fashion opinion leadership and shopping behavior.

• IE interfaces
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• v.15 no.2
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• pp.209-217
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• 2002

Quality of Service(QoS) in the telecommunications can be evaluated by analyzing the opinion data which result from the surveyed opinions of respondents and quantify subjective satisfaction on the QoS from the customers' viewpoints. For analyzing the opinion data, MOS(mean opinion score) method and Cumulative Probability Curve method are often used. The methods are based on the scoring method, and therefore, have the intrinsic deficiency due to the assignment of arbitrary scores. In this paper, we propose an analysis method of the opinion data using logit models which can be used to analyze the ordinal categorical data without assigning arbitrary scores to customers' opinion, and develop an analysis procedure considering the usage of procedures provided by SAS(Statistical Analysis System) statistical package. By the proposed method, we can estimate the relationship between customer satisfaction and network performance parameters, and provide guidelines for network planning. In addition, the proposed method is compared with Cumulative Probability Curve method with respect to prediction errors.

• Journal of the Korean Society of Costume
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• v.14
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• pp.185-198
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• 1990

The purpose of this study is to identify and profile Korean women's fashion opinion leaders on demographic, psychological and communication channels dimensions. The questionnaire was administered to 1204 students from a purposively selected. women's universities in Seoul. The data was analyzed using $X^2$-test, t-test, multiple regression analysis and discriminant analysis, The significance level was set at. 05. The major findings derived from analysis are as follows: 1. Fashion opinion leaders are generally come from families with higher income, more education and higher occupational status than followers. 2. Fashion opinion leaders are more likely to be exhibitionistic, self-confident, individualistic, risk taking and gregarious than followers. 3. Fashion opinion leaders are more exposed to impersonal communication media, especially to fashion magazines than followers. These findings imply an obvious usefulness for both manufacturers in the apparel industry as well as retailers to help them in the identification of their target market for the introduction and acceptance of fashion items.

• Asian Journal for Public Opinion Research
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• v.1 no.4
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• pp.292-306
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• 2014

China's "two sessions," namely, the National People's Congress (NPC) and the Chinese People's Political Consultative Conference (CPPCC), has significant meaning to the political life of the nation. It collects opinions and advice from different groups of people annually. "Two sessions" 2013 was especially eye-catching, because new state leaders were elected at the meetings. Using CATI (Computer Assisted Telephone Interviewing) system, the Media and Public Opinion Center of Fudan University (FMORC) conducted surveys of China's "two sessions" every year from 2007 to 2013. In 2013, the influence of new media on public opinion has become increasingly significant. Microblog and WeChat have become two types of important media for Shanghai residents to express their opinions and take part in China's "two sessions." Based on the empirical findings, this paper examines Shanghai Residents' cognition, attitudes and expressions towards "two sessions" 2013 and analyzes how new media affect the public opinions on significant political events.