• Clinical and Experimental Reproductive Medicine
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• 제40권4호
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• pp.169-173
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• 2013

Objective: To measure Irish opinion on a range of assisted human reproduction (AHR) treatments. Methods: A nationally representative sample of Irish adults (n=1,003) were anonymously sampled by telephone survey. Results: Most participants (77%) agreed that any fertility services offered internationally should also be available in Ireland, although only a small minority of the general Irish population had personal familiarity with AHR or infertility. This sample finds substantial agreement (63%) that the Government of Ireland should introduce legislation covering AHR. The range of support for gamete donation in Ireland ranged from 53% to 83%, depending on how donor privacy and disclosure policies are presented. For example, donation where the donor agrees to be contacted by the child born following donation, and anonymous donation where donor privacy is completely protected by law were supported by 68% and 66%, respectively. The least popular (53%) donor gamete treatment type appeared to be donation where the donor consents to be involved in the future life of any child born as a result of donor fertility treatment. Respondents in social class ABC1 (58%), age 18 to 24 (62%), age 25 to 34 (60%), or without children (61%) were more likely to favour this donor treatment policy in our sample. Conclusion: This is the first nationwide assessment of Irish public opinion on the advanced reproductive technologies since 2005. Access to a wide range of AHR treatment was supported by all subgroups studied. Public opinion concerning specific types of AHR treatment varied, yet general support for the need for national AHR legislation was reported by 63% of this national sample. Contemporary views on AHR remain largely consistent with the Commission for Assisted Human Reproduction recommendations from 2005, although further research is needed to clarify exactly how popular opinion on these issues has changed. It appears that legislation allowing for the full range of donation options (and not mandating disclosure of donor identity at a stipulated age) would better align with current Irish public opinion.

• 한국언론정보학보
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• 제32권
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• pp.49-73
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• 2006

이 연구는 사람들이 전통적인 여론조사와 온라인 여론조사를 통해 얻어진 결과를 어떻게 다르게 인식하는가를 제3자효과론 (Third Person Effects)을 중심으로 살펴보았다. 미디어의 영향이 본인보다 다른 사람에게 더 클 것이라는 제 3자효과론은 그 동안 미디어효과 연구분야에서 폭넓게 적용되어 왔다. 하지만 최근 인터넷을 이용한 온라인 여론조사의 광범위한 사용으로 과연 이러한 여론조사에서, 특히 우리가 기존에 사용해왔던 전화를 통한 무작위 표본조사와 대표성이 약한 온라인 여론조사의 차이를 고려할 때, 실질적으로 미디어 이용자 입장에서는 얼마나 그 차이를 인식하는지는 매우 중요한 연구과제라 할 수 있다. 뿐만아니라, 서로 다른 두 가지 유형의 여론조사의 결과가 수용자에게 미치는 영향 측면에서 서로 다른 크기의 제 3자 효과가 나타나는지에 대한 관심도 커질 수밖에 없다. 이를 위해서 서베이와 실험연구 두 방법을 병용하여 이 문제에 대한 좀더 심층적인 분석을 시도하였다.

• 한국IT서비스학회지
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• 제14권2호
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• pp.143-158
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• 2015

Companies and governments in an era of big data have been tried to create new values with their data resources. Among many data resources, many companies especially pay attention to data which is obtained from Social Network Service (SNS) because it reveals precise opinion of customers and can be used to estimate profiles of them from their social relationships. However, it is not only hard to collect, store, and analyze the data, but system applications are also insufficient. Therefore, this study proposes a S-POS (Social POS) system which consists of three parts; Twitter Side, POS Side and TPAS (Twitter&POS Analysis System). In this system, SNS data and POS data which are collected from Twitter Side and POS Side are stored in Mongo D/B. And it provides several services with POS terminal based on analysis and matching results which are generated from TPAS. Through S-POS system, we expect to efficient and effective store and sales managements of system users. Moreover, they can provide some differentiated services such as cross-selling and personalized recommendation services.

• International Journal of Internet, Broadcasting and Communication
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• 제9권3호
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• pp.59-69
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• 2017

The best 'hub' to communicate with the citizen is using social media to marketing the business. However, there has several issued and the most common issue that face in critical is a capital issue. This issue is always highlight because most of automatic sentiment detection tool for Facebook or any other social media price is expensive and they lack of technical skills in order to control the tool. Therefore, in directly they have some obstacle to get faster product's feedback from customers. Thus, the personal online retailing need to struggle to stay in market because they need to compete with successful online company such as G-market. Sentiment analysis also known as opinion mining. Aim of this research is develop the tool that allow user to automatic detect the sentiment comment on social media account. RAD model methodology is chosen since its have several phases could produce more activities and output. Soppy tool will be develop using Microsoft Visual. In order to generate an accurate sentiment detection, the functionality testing will be use to find the effectiveness of this Soppy tool. This proposed automated Soppy Tool would be able to provide a platform to measure the impact of the customer sentiment over the postings on their social media site. The results and findings from the impact measurement could then be use as a recommendation in the developing or reviewing to enhance the capability and the profit to their personal online retailing company.

• 한국사회복지학
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• 제42권
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• pp.107-138
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• 2000

Today, the public assistance program in Korea is provided mainly for the livelihood protection beneficiary in urban area. The fact that the urban community-centered program is also applied to the livelihood protection beneficiary in rural area brings about some problems in fitness and effectiveness of resource distribution. The purpose of my study is to present my opinion that the public assistance program for the rural community should be put in practice after being fully distinguished from the urban program for the effective distribution of limited social welfare resources to insure the minimum standard of living and seek the self-support contribution which is the purpose of the public assistance program. The subject for this study were livelihood protection beneficiaries living in both rural and urban area. And the study was carried out in this parts: first, the way of life in them, second, the contents of 6 main public assistance programs being carried out. Total number of the livelihood protection beneficiaries are 279 case: 143 case from 15 Dong in 5 cities, and 136 case from 15 Myun in 5 counties. And the social worker who are performing the public assistance programare consisted of 50 case: 25 case from 5 Dong in 5 cities, and 25 case from 5 Myun in 5 counties. This research reach the result that the differentiate performance of the public assistance program in rural community would be an effective device for self-support to be freed from the vicious circle of poverty.

• 한국멀티미디어학회논문지
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• 제24권3호
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• pp.448-459
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• 2021

In this paper, we propose a method of predicting the next-day stock price fluctuations of 10 KOSDAQ-listed companies in 5G, autonomous driving, and electricity sectors by training SVM, XGBoost, and LightGBM models from macroeconomic·financial market indicators, technical indicators, social interest indicators, and daily positive indices extracted from online news. In the three experiments to find out the usefulness of social interest indicators and daily positive indices, the average accuracy improved when each indicator and index was added to the models. In addition, when feature selection was performed to analyze the superiority of the extracted features, the average importance ranking of the social interest indicator and daily positive index was 5.45 and 1.08, respectively, it showed higher importance than the macroeconomic financial market indicators and technical indicators. With the results of these experiments, we confirmed the effectiveness of the social interest indicators as alternative data and the daily positive index for predicting stock price fluctuation.

• 한국사회복지학
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• 제44권
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• pp.178-208
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• 2001

This study concerns the understanding of 'social exclusion' which is getting poplular in Europe as the new term or paradigm in order to resolve poverty problem. As case study on the France, the purpose of this study is to extract the consideration of welfare policy and suggestions as to us. In order to understand comprehensively the concept 'social exclusion' and the situation of the France, this study analyzes the existing researches on its concept and tries to realize a comparative study. Thus, this study indicates that the France is the state which has taken the most interest in 'social exclusion'. The second parti of this study concerns the change of the concept 'social exclusion' and its policies in the France. The concept 'social exclusion' which has used in the 1960's, has settled as the term of policies in the 1980's, thanks to seriousness of poverty and unemployment problem and change of social consciousness (opinion). As policy on the 'social exclusion', there are Revenu minimum d'insertion of the 1988 and law on the social exclusion of the 1998. Through analysis of policies on the 'social exclusion' in the France, we can get the following consideration of welfare policy and suggestions: on the macro level, the necessity to establish the comprehensive perspective on the poverty problem, invention and development of the term as regard to social new problem; on the micro lever, planning of welfare program according to clients needs, importance of perpetual assessing of the existing welfare program and institutions, the institutional establishment of 'reserve budget', the application of decentralization principle and the active participation of the private sector in order to promote the effectiveness and the efficiency of the program and institutions.

• Journal of the Korean Data and Information Science Society
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• 제16권4호
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• pp.899-911
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• 2005

This paper conducts an explanatory analysis of the web sphere produced by National Assemblymen in South Korea, using some statistical methods. First, some descriptive metrics were employed. Next, the traditional methods of multi-variate analyses, multidimensional scaling and corresponding analysis, were applied to the data. Finally, cross-sectional data were compared to examine a change over time.

• 한국사회복지학
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• 제66권1호
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• pp.277-306
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• 2014

본 연구는 사회복지 가치에 관한 연구를 활성화하기 위하여 한국적 사회복지 실천 상황을 고려한 사회복지 가치 척도 개발을 목적으로 하였다. 국내외 관련 문헌 및 기존 척도를 검토하여 핵심가치를 도출하고, 현장 전문가들의 의견을 수렴하여 62개의 예비문항을 개발하였다. 예비문항은 다양한 사회복지기관에 근무하는 521명의 사회복지사를 대상으로 평가하였다. 탐색적 요인분석 및 확인적 요인분석을 통해 최종적으로 33개 문항으로 구성한 사회복지 가치 척도를 개발하였으며 이들 문항은 '자율성', '평등', '온정적 개입' 등 세 가지 사회복지 핵심가치를 측정한다. 척도의 신뢰도는 양호하였고, 한국어판 Professional Opinion Scale(POS)과 양(+)의 상관관계를 보여 수렴타당도가 입증되었다.

• 한국콘텐츠학회논문지
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• 제16권8호
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• pp.1-9
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• 2016

소셜미디어의 정치사회적인 활용도가 높아짐에 따라 소셜빅데이터 기반 온라인 동향분석 및 모니터링 기술에 대한 수요 역시 급증하고 있다. 본 논문에서는 이러한 요구에 부합, 특히 여론 형성의 악영향을 끼치는 부정적 이슈 탐지를 위해 사회적으로 파장이 큰 이슈 중 공공여론이 부정적으로 형성될 이슈를 '리스크'로 정의하고 세부 유형을 분류한다. 리스크 유형 정의를 위해 뉴스 문서집합을 대상으로 전수조사를 실시하였으며, 이슈 분야 즉 도메인별 특성을 파악하여 세부 유형을 정의한다. 또한 뉴스와 같은 공적미디어를 통해 정의된 리스크 유형이 개인화된 소셜 미디어에 나타난 리스크 유형과 어떤 차이가 있는지를 알아보기 위해 교차분석을 수행한다. 조사 결과에 따라 6개의 도메인별로 58개의 세부 유형을 정의하고 기계학습 방법을 통해 자동 분류 학습 모델을 구축한다. 실험 결과를 통해 소셜 미디어에 나타난 사회적 이슈 리스크를 자동으로 탐지, 분류가 가능함을 보인다.