• Journal of Digital Contents Society
• /
• v.19 no.3
• /
• pp.513-519
• /
• 2018

The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.

• Journal of Korean society of Dental Hygiene
• /
• v.9 no.3
• /
• pp.306-318
• /
• 2009

Objectives : There were reports about the decreasing of quit-smoking ratio because of taking professional advices. This study were to investigate smoking prevalence rate of the dental hygienist study in nationwide and quit-smoking counseling activity for patients in dental clinic. Methods : The registered Korea Dental Hygienists Association Meeting in 2005 were recruited as subjects. The personal surveyed, 486(87.7%) returned completed questionnaires. Results : The smoking rate of dental hygienist is 3.1%, past smoking rate 1.4% and smoking cessation 95.5%. In smoking cessation counseling activity, only 20.8% of dental hygienist would advise to quit smoking. However, 63.8% intended to advise to quit smoking but they have no idea about quit smoking program and 15.4% had no intention of advising to quit. It is a whole consent that Smoking dental hygienist is tend to against smoking and necessary training about smoking cessation same opinion. Conclusions : Dental hygienist is more effective for health care professional to help people stop smoking, therefore dental hygienist is important for them to have through knowledge of subject and confidence in their role in smoking cessation.

• Informatization Policy
• /
• v.20 no.2
• /
• pp.73-90
• /
• 2013

Rational debate and public conversation in the public sphere of social network are crucial conditions for realizing deliberative democracy. However, negative communication can occur online more frequently than in the real space, and mutually hostile messages are appearing. In the electoral process, citizens combining for particular candidates have made personal attacks against, abused and slandered the opposing candidates. Then, how and to what degree has the flaming behavior been appearing in the elections? Are there influencers to propagate the flaming behavior? And how flaming are these influencers, compared to internet users? This research focuses on the flaming behavior which occurred during the reelection for Seoul Mayor, in order to diagnose the role of social network as an online public sphere. This study analyzes the spreading degree of flaming messages depending on each issue, and the differences of messages between influencers and normal users. There was frequent flaming behaviors to distribute biased information which criticized, laughed at and maliciously attacked individual candidates. Moreover, influencers who advanced leading opinions, displayed a higher flaming degree than normal users.

• Journal of the Korea Safety Management & Science
• /
• v.14 no.4
• /
• pp.229-238
• /
• 2012

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

• Journal of the Korea Convergence Society
• /
• v.10 no.4
• /
• pp.229-236
• /
• 2019

The purpose of this paper is to analyze social phenomena and perceptions by collecting and analyzing data on public opinion, views and trends related to special case of military service in the sports community through Big KINDS operated by the Korea Press Promotion Foundation. To this end, the related keywords were derived and visualized by implementing a LDA(latent dirichlet allocation) technique to derive problems found in social phenomena based on big data analysis. The topics derived include "re-lighting special case on military service," " military service corruption controversy," "special case of military service for athletes," "alternative military service system for artists " and "parliamentary inspection of the administration" This could be used as a basic data for identifying accurate information on social controversies related to special case of military service in the sports community and drawing up practical measures that are considered in line with the principle of just and equal burden.

• International Journal of Computer Science & Network Security
• /
• v.24 no.2
• /
• pp.79-88
• /
• 2024

The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

• The Korean Society of Law and Medicine
• /
• v.9 no.2
• /
• pp.383-422
• /
• 2008

Considering above, It might be efficient that medical disputes would be settled by the intervention, the agreement, and the administrative relief that reflect mediators' opinion, who have rich social experience as well as specialized knowledge. Therefore, KCA needs to strengthen its function of mediation and improve relevant systems to become an effective settlement institution. And although Oriental medicine disputes have mainly given ex post facto explanations so far, administrative efforts such as policy development or legislation should be made for the high quality of Oriental medical services offered because an efficient way saving social or economic costs caused by the dispute would be precautionary measures. The traditional Oriental medicine is featured with the lack of baseline examination, the uncertainty of medical mistakes, the difficulty in clarifying and proving facts, the hardship of injury conformation and causality because of the characteristics of Oriental medicine, and the relative lightness of physical damages. Actually, there has been few legal settlements in Oriental medical disputes since the compensation, itself, compared to the lawsuit cost, is relatively much lower without practical benefits.

• The Journal of the Korean life insurance medical association
• /
• v.28 no.1_2
• /
• pp.31-35
• /
• 2009

Background : Many of internists have been working for insurance industry. Insurance medicine is use of medical knowledge for insurance industry. There is social role of insurance medicine in terms of soundness of insurance administration. Recently social role of internists also have been being watched. Although theme of insurance medicine is medical risk selection, insurance claims administration also needs medical experts'opinion. There are not any corroborative study of medical consulting for insurance claims. Among insurance industry, someone called this medical review of insurance claims as 'medical claims review'. Aim : To investigate usefulness of medical review of insurance claims. Design : Questionnaire survey with claim staffs in one of insurance claim adjustment company in Korea. Methods : 265 claim staffs were divided into 4 groups and conducted survey using a questionnaire of 20 questions. Utility score, job satisfaction score, and difficult factors of claims administration were measured. Results : Utility score and job satisfaction score are highest in medical claims review group. The most difficult in claim administration to claim staffs was demonstrated to medical knowledge. Conclusion : Medical review of insurance claims is proved to be worthy. Document-based consulting method, namely medical claims review, is more useful than telephone-based simple query among claim staffs...Subjects of the medical claims review are medical record and it's principle is independent medical examination with evidence-based approach, it also has role of protecting fraud of insurance claims. Two main question types of medical claims review are verification and advice.

• The Korean Journal of Health Service Management
• /
• v.6 no.3
• /
• pp.197-208
• /
• 2012

There's an opinion that it may be a combination of change of values and social economic factors that caused low fertility of Korean society. This study intends to analyze actual conditions of family children values and gender role centered on university students in a marriageable age so draw a policy implication for overcoming low fertility. Main findings of this study are like following. First, as for analysis of childbirth intention shows average score of $3.35{\pm}1.142$ presented sex distinction that men have a higher tendency to women. Second, in gender role attitudes, it shows that gender role related on women's social activities($2.06{\pm}0.739$), traditional gender role in family($2.41{\pm}0.789$) influence on childbirth intention (p<0.001). Third, in family children values indicates moderate scores($2.95{\pm}0.648$) that son's position in family ($2.33{\pm}0.911$), relation between children and parents($2.80{\pm}1.050$), individual's position in family($3.56{\pm}0.671$) influence on childbirth intention(p<0.000) in the traditional values. Measures against low fertility will prove effective when family values are established favorable to marriage, childbirth, rearing, gender equality is settled in a society as a whole and related systems.

• International Journal of Internet, Broadcasting and Communication
• /
• v.12 no.4
• /
• pp.196-203
• /
• 2020

In this study, we tried to explore the actual direction for the play culture by looking at the social perception of the change of play culture due to the Corona 19 using big data analysis. For this research, we used Textom, a website specializing in collecting big data, and collected 10,216 data using keywords of "Corona + Play," "Play Culture" and "Leisure" from January 19, 2020 to September 30, 2020, when the first confirmed case of Corona 19 occurred in Korea on various portal sites at home and abroad. The results of this paper showed that the social perception of the play culture in Corona 19 was 51.61%, not much different from the negative image of 48.15%. It is necessary to develop a play culture program that can identify people's various desires and emotions under the premise that situations similar to the current With Corona period and Corona19 can occur at any time, and find mental and physical stability and vitality in unstable situations. In addition, the results of this study can be used as basic data for the development of play culture policies or programs, with the significance that this study helped vitalize big data utilization research in the fields of play, leisure, and culture.