• Title/Summary/Keyword: opinions

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Differences in Family Caregivers' Opinions about Out-of-Pocket Payment for Long-Term Care Facilities by Income Levels (장기요양 시설서비스 이용자의 소득수준별 본인부담금에 대한 인식 차이)

  • Kwon, Jinhee;Moon, Yongpil;Lee, Jung-Suk;Han, Eun-Jeong
    • Health Policy and Management
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    • v.27 no.2
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    • pp.139-148
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    • 2017
  • Background: The purpose of this study is to investigate family caregivers' opinions about out-of-pocket payment for long-term care (LTC) facilities, and find the differences in the opinions for family caregivers of all different levels of income. Methods: We used the data of the study on out-of-pocket payment in national long-term care insurance, including 1,552 family caregivers with the elderly in long-term care facilities. Results: The average out-of-pocket payment per month was 511,635 Korean won and distributed from 230,750 to 1,365,570 Korean won. The amount of out-of-pocket payment might be affected by not co-payment but the cost of non-covered service. There were differences in them for family caregivers of all different levels of income. Opinions were surveyed about 5 issues. By levels of income, there were differences in their opinions about 3 issues, the financial burden on LTC, the necessity of reducing out-of-pocket payments, and to be willing to pay more for a high quality service. But there were not different opinions about the interruption of LTC service and staying with LTC facilities. Conclusion: These findings suggest that the range of out-of-pocket payment for LTC facility is wide and it can be a burden to lower income group. It should be to prepare the policies to ease the financial burden and support the appropriate LTC use.

Factors Affecting Opinions on Marriage of Unmarried Women in Their 30's in Korea: Based on 2012 Social Survey (한국 30대 미혼여성의 결혼견해 영향요인: 2012 사회조사 기반)

  • Lee, Sung-Hee;Gweon, Hyun-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.1
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    • pp.606-616
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    • 2015
  • This study was conducted in order to identify factors affecting opinions on marriage of unmarried women in their 30's in Korea. Analysis of data on 529 unmarried women in their 30's, which were taken from the 2012 social survey, was analyzed. Data were analyzed using ${\chi}^2$ test, hierarchical logistic regression analysis as well as descriptive statistics by SPSS version 20.0. Results showed that age(Exp(b)=.90,p=.025), opinions on divorce(Exp(b)=3.81,p<.001) and remarriage(Exp(b)=3.09,p=.001), and value on marriage(Exp(b)=.80,p<.001) were independent predictors of opinions on marriage. Economic activity(Exp(b)=19.58,p=.003) was found to be an independent predictor of opinions on marriage for the 35-39 year old women differ from 30-34 year old women predictors. Findings of this study indicate a need for developing family and marriage value-centered education and the low-fertility policy for the 35-39year old actively working women considering factors affecting opinions on marriage.

The opinions of some local clinical dental hygienists on medical personnel of dental hygienists (일부지역 임상치과위생사들의 치과위생사 의료인화에 대한 견해)

  • Ryu, Hae-Gyum
    • Journal of Korean society of Dental Hygiene
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    • v.18 no.6
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    • pp.1067-1077
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    • 2018
  • Objectives: The purpose of the study is to investigate the opinions of some local clinical dental hygienists on medical personnel of dental hygienists. It will be for provide the Future dental hygienist basic data necessary for medical personnel. Methods: A self-reported questionnaire was completed by 171 dental hygienists in Busan and Gyeongnam from December 1, 2017 to January 31, 2018. Structured questionnaires were uesd for analysis. The questionnaire consisted of general characteristics of the subjects(7 items), medical personnel necessity and opinions of dental hygienist(2 items), the opinions of distinction of the task between dental hygienists and other personnel(2 items), many frequency task in the dental clinic. The collected data were analyzed using frequency, percentage, descriptive statistics and ANOVA using IBM SPSS VER 20.0. Results: 89.5% of the dental hygienists required medical personnel of dental hygienist, the opinions on the necessity were as follows: 'role and quality improvement as oral health professionals', 'lack of legislation and application of dental hygienists duties'. There was no difference reason between dental hygienists and other personnel on duties, the reason were investigated to uncertainty of dental hygienist system, lack of dental hygienist workforce, dentists lack awareness of dental hygienist expertise. There was surveyed by the current many frequency duties in the dental clinic, assist for dental treatment, Oral health education and counselling, Preventive dental treatment. Conclusions: Legal guarantees for clinical dental hygienists work are absolutely required. Therefore, relevant government agencies and related organizations should resolve the contradiction of the legal system of medical law and medical technicians. The clinical dental hygienists should be promoted to medical personnel through the amendment of the medical law so that the duties practiced by the dental hygienist can be matched with the legal practice.

A Study on the Relationship between the Emotions of the MZ Generation Revealed in Online Communities and Public Opinion Surveys (온라인 커뮤니티에 드러난 MZ세대의 감성과 여론조사 간 상관관계에 관한 연구)

  • HanByeol Stella Choi;Sulim Kim;Hee-Dong Yang
    • 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.

Outlier Detection Techniques for Biased Opinion Discovery (편향된 의견 문서 검출을 위한 이상치 탐지 기법)

  • Yeon, Jongheum;Shim, Junho;Lee, Sanggoo
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.315-326
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    • 2013
  • Users in social media post various types of opinions such as product reviews and movie reviews. It is a common trend that customers get assistance from the opinions in making their decisions. However, as opinion usage grows, distorted feedbacks also have increased. For example, exaggerated positive opinions are posted for promoting target products. So are negative opinions which are far from common evaluations. Finding these biased opinions becomes important to keep social media reliable. Techniques of opinion mining (or sentiment analysis) have been developed to determine sentiment polarity of opinionated documents. These techniques can be utilized for finding the biased opinions. However, the previous techniques have some drawback. They categorize the text into only positive and negative, and they also need a large amount of training data to build the classifier. In this paper, we propose methods for discovering the biased opinions which are skewed from the overall common opinions. The methods are based on angle based outlier detection and personalized PageRank, which can be applied without training data. We analyze the performance of the proposed techniques by presenting experimental results on a movie review dataset.

A Study on Social Media Sentiment Analysis for Exploring Public Opinions Related to Education Policies (교육정책관련 여론탐색을 위한 소셜미디어 감정분석 연구)

  • Chung, Jin-Myeong;Yoo, Ki-Young;Koo, Chan-Dong
    • Informatization Policy
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    • v.24 no.4
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    • pp.3-16
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    • 2017
  • With the development of social media services in the era of Web 2.0, the public opinion formation site has been partially shifted from the traditional mass media to social media. This phenomenon is continuing to expand, and public opinions on government polices created and shared on social media are attracting more attention. It is particularly important to grasp public opinions in policy formulation because setting up educational policies involves a variety of stakeholders and conflicts. The purpose of this study is to explore public opinions about education-related policies through an empirical analysis of social media documents on education policies using opinion mining techniques. For this purpose, we collected the education policy-related documents by keyword, which were produced by users through the social media service, tokenized and extracted sentimental qualities of the documents, and scored the qualities using sentiment dictionaries to find out public preferences for specific education policies. As a result, a lot of negative public opinions were found regarding the smart education policies that use the keywords of digital textbooks and e-learning; while the software education policies using coding education and computer thinking as the keywords had more positive opinions. In addition, the general policies having the keywords of free school terms and creative personality education showed more negative public opinions. As much as 20% of the documents were unable to extract sentiments from, signifying that there are still a certain share of blog posts or tweets that do not reflect the writers' opinions.

Characterization and Detection of Opinion Manipulation on Common Interest Groups in Online Communities (온라인 공간에서 관심집단 대상 비정상 정보의 특징 분석과 탐지)

  • Lee, Sihyung
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.57-69
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    • 2020
  • As more people share their opinions in online communities, such as Internet portals and social networking services, more opinions are manipulated for the benefit of particular individuals and groups. In particular, when manipulations occur for political purposes, they influence election results as well as government policies and the quality of life. This type of manipulation has targeted the general public, and their analysis and detection has also focused on such manipulation. However, to more efficiently spread propaganda, recent manipulations have targeted common interest groups(e.g., a group of those interested in real estate) and propagated information whose content and style are customized to those groups. This work characterizes such manipulations on common interest groups and proposes method to detect manipulations. To this end, we collected and analyzed opinions posted on 10 common interest groups before and after an election. As a result, we found that manipulations on common interest groups indeed occurred and were gradually increasing toward the election date. We also proposed a detection system that examines individual opinions, their authors, and their collaborators. Using the collected opinions, we demonstrated that the proposed system can accurately classify more than 90% of manipulated opinions and that many of these opinions were posted by multiple collaborators. We believe that regular audits of opinions using the proposed system can quickly isolate manipulations and decrease their impact. Moreover, the proposed features can be used to identify manipulations in domains other than politics.

Development of Korean Opinion Analysis System using Semantic Dictionary and Inverse Opinion Processing (의미 사전과 반전 의견 처리를 이용한 한국어 의견 분석 시스템 개발)

  • Chang, Jae-Khun;Park, Jin-Soo;Ryoo, Seung-Taek
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.8
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    • pp.3070-3075
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    • 2010
  • Through Web 2.0 days, the end users express their opinions and thoughts for blogs and community spaces on the Internet. These opinions and thoughts are used to purchase products, however, users only refer to a few comments not overall opinions. Opinion Analysis System is an opinion search, developed from a natural language search, which analyzes the product's positive or negative evaluations using opinions of products and services on the Internet. In this paper, we suggest a syntactic analysis and inverse processing system that studies and processes 'Positive', 'Negative', 'Neutral' in addition to 'Inverse' information to analyze 'positive' or 'negative' for the core of sentences in Opinion Analysis Service.

Pre-service and In-service Elementary School Teachers의 Beliefs about 575 Interactions (예비 및 현직 초등교사의 STS 상호작용에 대한 신념)

  • 서승조;조태호;백남권;박강은;김성규;신명주
    • Journal of Korean Elementary Science Education
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    • v.20 no.2
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    • pp.255-270
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    • 2001
  • The purpose of this study is to consider pre-service and in-service elementary school teachers' beliefs about STS (Science-Technology-Society), by investigating their opinions on STS interactions. 222 of the seniors in Jinju National University of Education, namely pre-service elementary school teachers, and 185 of the active teachers in Kyung-Nam Province were selected as the objects for researching these matters. Their beliefs about STS interactions were examined. The results were analyzed with a percentage as an examining tool of TBA-STS(Teachers' Beliefs about Science-Technology-Society). The results were as follows; First, on the nature of science, most of them showed simple opinions. On the nature of technology, most of them also showed simple opinions. most of them recognized the interactions among science, technology, and society affirmatively. They showed simple opinions on the interactions between science and technology. In fact, they didn't recognize the interactions between science and society, but they knew the influence of technology on society relatively concretely. Second, if one consider the cognitive situation or the distributing route of STS, he can easily find that most teachers never or little know it. At present, pre-service teachers learn STS from the lectures in their universities, and in-service teachers get information about it from science magazines/newspapers and training.

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Analyzing Customer Feedback Differences between VOCs and External Channels (VOC와 외부채널간의 고객 피드백 차이 분석)

  • Ahn, Sang Hyeon;Baek, Dong Hyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.129-137
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    • 2018
  • VOCs have been used as the most definitive resource to reflect customer feedback when developing products and services. However, due to the development of the Internet and the emergence of SNS, VOC is no longer the only channel that represents customer opinions. There are also a number of studies showing that many customers express complaints through channels other than VOCs. In this paper, we analyze the difference between the official VOC data and the data collected through the external channel, and suggest ways to reflect the various opinions of customers. To do this, this study uses keyword analysis that can identify differences according to frequency through social network, modular analysis to distinguish topics according to centrality and similarity, and emotional analysis to confirm word polarity (positive and negative). The results of this study show that the opinions of the customers were different depending on channels such as VOCs and external channels. Therefore, the collected data through VOC as well as external channels should be used in order to reflect the opinions of customers. In particular, this paper confirms that the results of one channel may vary depending on the channel characteristics even for the same channel. This confirms that collecting voc only on certain channels may differ from what real customers require. Therefore, data collected through VOCs as well as external channels must be used to reflect various customer feedback.