• Journal of the Korean Data and Information Science Society
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• 제19권2호
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• pp.431-441
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• 2008

A public opinion poll's importance is at this time increasing now. Especially, a news report with a fair and objective execution and investigative reporting Moral Code is very important. But a research on the basis of investigative reporting Moral Code is not yet carried out. In this paper, with the center of a public opinion poll involved in the 17th Presidential Election of Korea, investigative reporting Moral Code has been analyzed measurably how well observed in the Press. Furthermore, it has been compared with findings carried out in the year 2002. Finally, through comparing response rate with actual results acquired in a survey of public opinion, I proposed a response rate acquisition.

• Asian Journal for Public Opinion Research
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• 제3권1호
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• pp.22-39
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• 2015

This research is a qualitative based study by using data gleaned from documentary analysis and in-depth interviews of 10 potential stakeholders were involved in the proposed high-speed train project in Thailand. Many perspectives from key informants revealed that this project would bring Thailand sustainable development in the future due to the fact that it is supposed to be an environmentally friendly mode of transportation and timesaving for passengers. Key informants who tend to have negative opinions towards the project feel apprehension due to the huge monetary investment during a time of monetary crisis. However, there was one complaint that the high-speed train is harmful to the environment surrounding the proposed area of this project. Several key informants agreed that ticket fares must be in between the cost of a bus ticket and airfare.

• 한국의류학회지
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• 제20권4호
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• pp.620-630
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• 1996

This study identified overlap of male innovativeness and of opinion leadership across product class. Product class include clothing, hairstyle and cosmetics, small electronic appliances, large electronic appliances, interior supplies, sports and leisure supplies, and cars. 423 male adults working in Seoul area was surveyed using questionnaire. Results of statistical analysis supported that innovativeness and opinion leadership are not monomorphic but polymorphic across product class. Higher degree of overlap and higher degree of correlationship of innovativness and of opinion leadership exist across product class which share similar characteristics such as clothing-cosmetics, small electronic appliances-large electronic appliances. Innovative communicator ranged from 5.0% to 11.4% in which percentage of innovative communicator was highest in the case of clothing purchase.

• Asian Journal for Public Opinion Research
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• 제8권4호
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• pp.409-431
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• 2020

This study explores the images and ideas presented by the editorial cartoons that have appeared in the author's Facebook timeline during Duterte's enhanced community quarantine (ECQ). The study analyzed 70 editorial cartoons posted between March 14, 2020, when Duterte declared ECQ in the National Capital Region of the Philippines, and June 22, 2020, a few days before the emergency powers of Duterte expired. This study used (visual-verbal) textual analysis as the research method to surface discourses embedded in the selected editorial cartoons. The editorial cartoons were clustered according to the roles the powerful people play in the images, and the details of each image were compared and contrasted to surface nuances in representation. The 70 editorial cartoons were classified into seven categories: (1) invisible (non-suffering) persons, (2) front liners, (3) privileged homeowners, (4) priority clients, (5) judges, (6) gatekeepers, and (7) dysfunctional public officials. They gravitated towards the tragic realities that call for acts of social justice and equity, and underscore specific contexts that need to be fixed by those in power.

• Asian Journal for Public Opinion Research
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• 제8권4호
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• pp.432-452
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• 2020

This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

• 복식문화연구
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• 제9권1호
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• pp.86-99
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• 2001

The purpose of this study was to identify and profile store browsers in terms of their browsing motives, fashion behavioral characteristics, buying behavior and preferred store attributes. The data were collected through questionnaire from 302 female college students by convenient sampling method. Statistical analysis of factor analysis, x²-test, and t-test were performed in analyzing the data. The browsing motives of browsers were to obtains fashion information, sensory stimulation and diversion from routine life. They showed the high level of fashion involvement, shopping confidence, shopping innovativeness, shopping opinion leadership as well s fashion opinion leadership. Browsers tended to be impulse buyers and spent more money on clothing than non-browsers. The attributes that influence their store choice were the variety of products and brands, information availability ,and pleasant store atmosphere.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2018년도 춘계 종합학술대회 논문집
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• pp.7-8
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• 2018

본 연구에서는 Word2vec을 머신러닝 분류기를 이용해 효율적인 오피니언 마이닝 방법을 제안한다. 본 연구의 목적을 위해 BOW(Bag-of-Words) 방법과 Word2vec방법을 이용해 속성 셋을 구성했다. 구성된 속성 셋은 Decision tree, Logistic regression, Support vector machine, Random forest를 이용해 오피니언 마이닝을 수행했다. 연구 결과, Word2vec 방법과 RF분류기가 가장 높은 정확도를 나타냈다. 그리고 Word2vec 방법이 BOW방법 보다 각 분류기에서 높은 성능을 나타냈다.

• 한국콘텐츠학회논문지
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• 제18권6호
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• pp.217-234
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• 2018

본 연구는 국내외 스포츠용품 브랜드에 대한 빅데이터 분석을 실시하였다. 이를 위해 소셜 매트릭스 프로그램인 텍스톰과 패션데이터 분석 플랫폼인 MISP를 통해 텍스트 마이닝, TF-IDF, 오피니언 마이닝, 관심도 그래프를 실시하였으며, 스포츠브랜드에 대한 최근 인식을 살펴보기 위해 2017년 1월 1일부터 2017년 12월 31일까지 1년간을 연구대상 기간으로 한정하였다. 분석 결과, 첫째, 각 브랜드를 대표하는 상품을 확인할 수 있었다. 둘째, 각 브랜드를 대표하는 마케팅을 확인할 수 있었다. 셋째, 각 브랜드에서 공통적으로 추출된 단어를 확인할 수 있었다. 넷째, 각 브랜드의 긍정 및 부정에 대한 감정을 확인할 수 있었다.

• 한국콘텐츠학회논문지
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• 제20권8호
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• pp.19-33
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• 2020

본 연구의 목적은 빅데이터 분석 기법을 이용하여 세종시 건설 계획에 대한 여론 변화를 분석하는 것이다. 연구 자료는 세종시 건설 계획과 관련된 한겨레와 동아일보, 한국일보 등 언론사의 신문기사이다. 세종시 건설 계획은 신행정수도, 행정중심복합도시, 세종시 수정안 등 3개 시기로 구분되었다. 분석 방법은 파이썬과 Gephi 0.9.2 프로그램을 활용한 빈도분석, 감성분석, 사회연결망분석이다. 세종시 건설에 따라 각 신문사의 쟁점에 대한 변화가 있었다. 첫째, 빈도분석 결과, 한겨레의 키워드는 세종시 건설 시기에 따라 찬성-찬성-반대의 특성을 나타내고 있었다. 동아일보는 반대-반대-찬성의 입장을 갖는 것으로 분석되었다. 한국일보는 반대-찬성-반대 경향을 갖는 것으로 분석되었다. 둘째, 감성분석 결과, 각 언론사는 논조의 특성이 변화되고 있었다. 한겨레는 긍정-긍정-부정 논조 특성을 보이고 있었고, 동아일보는 부정 - 부정 - 긍정으로 변화되었다. 한국일보는 부정-긍정-부정으로 변화되었다. 셋째, 사회연결망분석 결과는 다음과 같다. 각 언론사는 세종시 건설 시기에 진보와 보수, 중도 등 정치적, 이념적 특성에 따라 변화를 보이고 있었다. 한겨레는 지역균형발전에 초점을 맞추고 있었으며, 동아일보는 보수의 의견을 대변하고 있었다. 한국일보는 세종시 건설 시기에 여·야가 대립하는 이슈에 대해 부각 시키고 있었다.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.141-142
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• 2022

최근 빅데이터를 통해 여러 가지 분석을 진행하고 있다. 다만 이러한 방식으로는 키워드에 대해 여론에 대한 분석을 거치지 않아 정확한 분석이 힘들다는 문제점을 가지고 있다. 따라서 본 논문에서는 이러한 문제점의 개선을 위해 데이터를 수집하고 이에 대해 감정분석을 수행하는 컨테이너 기반의 시스템을 제안한다. 감정분석 시스템을 적용한다면 키워드에 대해 분석 시에 정확도가 더욱 높아질 것으로 전망된다.