• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.563-569
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• 2012

The studies of opinion mining or sentiment analysis have been the focus with social web proliferation. Sentiment analysis requires sentiment resources to decide its polarity. In the existing sentiment analysis, they have been built resources designed with intensity of sentiment polarity and decided polarity of opinion using the ones. In this paper, I will present sentiment categories for not only polarity of opinion but also the basis of positive/negative opinion. I will define psychological emotions to primary sentiments for the reasonable classification. And I will extract the informations of sentiment from social web texts for the actual distribution of sentiments in social web. Re-classifying primary sentiments based on extracted sentiment information, I will organize sentiment categories for the social web. In this paper, I will present 23 categories of sentiment by using proposed method.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.179-185
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• 2019

A core technology of social robot is voice recognition and dialogue engine technology, but too much money is needed for development and an implementation of robot's conversation function is difficult resulting from insufficiency of performance. Dialogue function's implementation between human and robot can be possible due to advance of cloud AI technology and several company's supply of their open API. In this paper, current intelligent social robot technology trend is investigated and effective social robot system architecture is designed. Also an effective analysis and design method of social robot system will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.75-84
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• 2021

For analyzing big data, the social network is increasingly being utilized through relational data, which means the connection characteristics between entities such as people and objects. When the relational data does not exist directly, a social network can be configured by calculating relational data such as attribute similarity from attribute data of entities and using it as links. In this paper, the composition method of the social network using the attribute similarity between entities as a connection relationship, and the clustering method using subgroups for the configured social network are suggested, and the clustering effectiveness of the clustering results is evaluated. The analysis results can vary depending on the type and characteristics of the data to be analyzed, the type of attribute similarity selected, and the criterion value. In addition, the clustering effectiveness may not be consistent depending on the its evaluation method. Therefore, selections and experiments are necessary for better analysis results. Since the analysis results may be different depending on the type and characteristics of the analysis target, options for clustering, etc., there is a limitation. In addition, for performance evaluation of clustering, a study is needed to compare the method of this paper with the conventional method such as k-means.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.26-41
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• 2021

Purpose: This study is to identify the relationship among married nurses' social support, work-family conflict and work-family enrichment and to examine the influence of social support on work-family conflict and work-family enrichment. Methods: Data were collected from married nurses working at three hospitals with more than 100 beds in J Province and analyzed by descriptive statistics, t-test, ANOVA, Mann-Whitney U test, Kruskal-Wallis H test, Pearson's correlation analysis and hierarchical regression analysis using SPSS 21 program. Findings: In the correlation analysis only social support and work-family enrichment showed positive correlation. As a result of hierarchical multiple regression analysis, social support still acted as a significant influence factor on work-family conflict and work-family enrichment even in the state of considering the effect of control variables. Conclusion: In order to lower work-family conflict and to enhance work-family enrichment of married nurses, it is necessary to introduce and implement welfare policies for work-family reconciliation at the workplace level and at home level it is necessary to provide concrete measures so that married nurses can find the value of life as workers while house working and nurturing.

• The Journal of Korean Society for School & Community Health Education
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• v.22 no.1
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• pp.11-24
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• 2021

Objectives: The purpose of this study was to examine the Path modeling effect among depression, Post-Traumatic Stress Disorders (PTSD), resilience, and social support on the quality of life (QoL) of natural disaster victims. Methods: This is a cross-sectional study with 1,979 disaster victims' cases by using the 4th Disaster victims panel survey in Korea. Data were collected from october 2018 to december 2018 and analyzed using regression analysis and path way analysis. Results: Perceived health, depression, social support, PTSD, resilience, and QoL showed significant correlations. PTSD was directly affected by depression and QoL was affected by PTSD. Social support was directly affected by depression and resilience was also directly affected by depression. QoL was affected by social support and resilience. Conclusion: This analysis highlighted that the relation between lower depression and QoL was mediated by greater social support and resilience and lower degree of PTSD. These results suggest that community health interventions and education that incorporate social support and resilience may improve the quality of life of natural disaster victims.

• Journal of Fashion Business
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• v.27 no.5
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• pp.78-92
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• 2023

Fashion trends are actively disseminated through social media, which influences both their propagation and consumption. This study explored how users perceive subversive basic fashion in social media videos, by examining the associated concepts and characteristics. In addition, the factors contributing to the style's social media dissemination were identified and its distinctive features were analyzed. Through text mining analysis, 80 keywords were selected for semantic network and CONCOR analysis. TF-IDF and N-gram results indicate that subversive basic fashion involves transformative design techniques such as cutting or layering garments, emphasizing the body with thin fabrics, and creating bold visual effects. Topic modeling suggests that this fashion forms a subculture that resists mainstream norms, seeking individuality by creatively transforming the existing garments. CONCOR analysis categorized the style into six groups: forward-thinking unconventional fashion, bold and unique style, creative reworking, item utilization and combination, pursuit of easy and convenient fashion, and contemporary sensibility. Consumer actions, linked to social media, were shown to involve easily transforming and pursuing personalized styles. Furthermore, creating new styles through the existing clothing is seen as an economic and creative activity that fosters network formation and interaction. This study is significant as it addresses language expression limitations and subjectivity issues in fashion image analysis, revealing factors contributing to content reproduction through user-perceived design concepts and social media-conveyed fashion characteristics.

• Journal of Families and Better Life
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• v.34 no.3
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• pp.85-94
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• 2016

The study aims to investigate the effects of social anxiety and self-discrepancy on the internet game flow of adolescents, and to explore the moderating effect of self-discrepancy on the relationship between social anxiety and internet game flow. For this purpose, questionnaires on social anxiety, self-discrepancy and internet game flow were administered to 900 middle and high school students in the Gyeonggi region. The data were analyzed through frequency analysis, t-test, Pearson's correlation analysis, stepwise multiple regression analysis, and hierarchical regression analysis using SPSS Win 21. The major findings of the research are as follows. First, social anxiety and internet game flow of adolescents showed a significant difference by gender. The level of social anxiety was higher for girls than that of boys, while the level of internet game flow was higher for boys than that of girls. Self-discrepancy showed a significant difference by grade. The level of self-discrepancy was higher for middle school students than high school students. Second, self-discrepancy was the most significant predictor of the internet game flow in adolescents. Also, gender and social anxiety were significant predictors. Third, the moderating effect of self-discrepancy was found in the relationship between social anxiety and internet game flow in adolescents.

• Korean Journal of Biological Psychiatry
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• v.21 no.4
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• pp.141-150
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• 2014

Objectives The purpose of this study is to evaluate the effects of attachment security, social support and health-related burden in the prediction of psychological distress and the mediation effects of social support and health-related burden in relationship between attachment security and psychological distress. Methods Finally, 161 patients were included for the analysis. Chi-square test and independent samples t-test were used for comparing differences between depressive/anxious group and non-depressive/non-anxious group. For evaluating the relationship among attachment security, social support, psychological distress and health-related burden, structural equation modeling analysis were performed. Results 40.7% and 32.0% of the patients have significant depressive symptoms and anxiety symptoms, respectively. In the analysis for testing the differences between groups who have psychological distress and who have not, there were no significant differences of sociodemographic factors and medical characteristics between groups, except for association between depressive symptoms and type of surgery (p = 0.01). Contrary to sociodemographic and medical characteristics, there were significant differences of health-related burden and two coping resources (attachment security and social support) between groups (all p < 0.01), except for the support from medical team in between anxious group and non-anxious group (p = 0.20). In the structural equation model analysis (Model fit : chi-square/df ratio = 0.8, root mean square error of approximation = 0.000, comparative fit index = 1.000, non-normed fit index =0.991), attachment security and social support emerged as an important predictor of psychopathology. Conclusions Attachment security and social support are important factors affecting the psychological distress. We suggest that individual attachment style and the social support state must be considered to approach the newly diagnosed breast cancer patients with psychological distress.

• 한국노년학
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• v.37 no.3
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• pp.783-801
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• 2017

The purpose of this study is to examined the relationship between social support, self-rated health status and life satisfaction among elderlies with chronic disease. For this study, 228 respondents suffered from chronic diseases and 75 healthy elderlies aged over 65 were analyzed. For the data analysis, a structural equation analysis and multi-group analysis were performed. As a result, higher levels of social support for elderlies with chronic diseases showed a higher level of life satisfaction, and the self-rated health status was found to be a significant mediator. The social support of the elderlies with chronic diseases significantly impacted their self-rated health status differently on healthy elderlies. To improve the self-rated health status and life satisfaction of elderlies with chronic disease, social services should be offered with social support providers. This study is meaningful in suggesting selective implications for elderlies with chronic disease.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.393-399
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• 2013

The purposes of this study were to seek beauty industry parts' current social insurance admission status. To achieve the purposes, questionnaire was distributed to a total of 470 beauty artists and data were analyzed by statistical analysis. The result of study proposed that hairdresser showed the highest awareness and field of nail art showed the lowest awareness in social insurance admission status. Social insurance admission status shows that beauty artists in hair field had the most applicants of national pension, health insurance, workers' compensation insurance and beauty artists of skin field had the highest desire for social insurance application. This study hopes to be used as base line data of social insurance applicants' accurate status and application.