• KIISE Transactions on Computing Practices
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• v.20 no.9
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• pp.492-497
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• 2014

In this paper, we propose a method of retrieving opinioned tweets in Twitter, which is the one of the popular Social Network Services and shares diverse opinions among various users. In typical opinion retrieval systems, they may consider the presence of sentiment phrases (subjectivity) as the important factor even if the subjective phrases are not related to a given query or speaker. To alleviate these problems, we utilized the syntactic structure of a sentence to identify the relationships between 1) subjectivity-query and 2) subjectivity-speaker and 3) the syntactic role of subjectivity. Besides, our learning-to-rank approach is trained to retrieve opinioned tweets based on query-relevance, textual features, user information, and Twitter-specific features. Experimental results on real world data show that our proposed method can achieve better performance than several baseline methods in terms of precision and nDCG.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.144-146
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• 2014

우리나라 연안해역의 시운전 선박의 해양사고 현황 및 원인을 분석하여 시사점을 도출하고, 시운전 선박 관계자를 대상으로 한 현장의견 분석 결과 및 교통량 분석 결과를 기반으로 하여 시운전 금지해역을 설정하고자 한다. 또한 이를 통하여 시운전금지해역 설정을 위한 법령안에 대하여 제시하여 해상교통안전을 향상시키고자 한다.

• Korean journal of communication and information
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• v.23
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• pp.189-221
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• 2003

This study compares the influence of perceived public opinion on Internet users' willingness to expression in real space with in cyber space. In real space, people who perceive their opinions as minority opinion are reluctant to express theirs publicly because of fear of isolation. But cyber space is the anonymous world. So we can expect that people express their opinions freely without the fear of isolation in this space. This study's results provide the support for our expectation. In cyber space, the minority perception group has as the high willingness to expression of their opinion about the abrogation of the Korean Family Rights Raw as the majority perception group. Both of in cyber space and in real space, it is the perception failure group that makes discrepancy in the willingness to expression. This group has the lowest willingness to expression in both space. However, the other predictors of willingness to expression in cyber space are similar to those in real space. Issue salience, Communication apprehension, and Age are the very significant predictors of willingness to expression in both spaces. Sex and ideology are significant predictors in real space, while the frequency of online conversation is the significant predictor in cyber space.

• Journal of Environmental Impact Assessment
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• v.31 no.6
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• pp.438-448
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• 2022

This study is to improve the quantitative estimation index of biotop area ratio, which is an environmental planning index and environmental ecological planning technique, as a planning means that can induce the improvement of ecological soundness in the spatial planning stage. It is intended to identify the relative importance of space types and calculation indicators currently in operation, and to find alternatives through opinion analysis on improvement of space types and weights. As the method of this study, AHP analysis was performed to evaluate the relative importance of spatial types for in-depth analysis of spatial types and calculation indicators. In order to secure the reliability and objectivity of the study, 50 experts participated. Through this study, it can be linked with the improvement of technologies and construction methods, maintenance efficiency, economic feasibility, and construction technology, which are developed through analysis on the limitations and improvements by type of biotop area ratio. And it is expected to contribute to the improvement of the urban environment and vitalization of the biotop area ratio through the application of the biotop area ratio.

• Korean journal of communication and information
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• v.39
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• pp.284-323
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• 2007

This study aims to examine the relation between opinion perception and opinion expression by issue types by analyzing online poll results and respective bulletin boards. To find out how opinion poll results affect the public opinion perception cues and opinion expression through the internet, the study applied a method of content analysis to the online contents provided by Naver.com, one of the most popular portal sites in Korea. A total of four issue types, along with 2,250 messages were chosen for analysis. The study results revealed that internet users perceived opinion atmosphere through the poll results and expressed their opinions depending on the issue types. In case of an issue where majority views are manifested as online poll results, users tended to follow that majority views by retaining their initial opinion. Majority opinion by the poll results held a dominant position in bulletin board. The results partially support Noelle-Neuman(1994)'s spiral of silence theory in the context of computer-mediated communication contrary to the belief that anonymity in the cyberspace tends to encourage participation of minority opinion group. According to the findings, people when they perceive their opinion as that of minority are discouraged to express their views even when they are online.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.455-465
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• 2016

The purpose of this study was to examine the effect of twitter influenctials on users' willingness on express opinions. Based on the spiral of silence and corrective action hypothesis, the contradictory hypotheses were drawn. The online expeiment was conducted to verify which hypothesis is valid. Participant were assigned to the four experimenatal conditons: a famous influential's twit which agrees with the issue; a famous influential's twit which disagrees with the issue; an ordinary influential's twit to agree with the issue; an ordinary influential's twit to disagree with the issue. Results showed that opinion congruency with a twitter influential did not influence participants' willingness to express opinion online and offline, but the interaction effect with the type of influentials was found. Opinion dissonance with an ordinary tiwtterian increased willingness to express opinion. The findings suggest that twitter influentials, particulary an ordinary influentials with differnet opinions, can motivate users to express their own opinion.

• Journal of the Korean Society for information Management
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• v.25 no.4
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• pp.115-129
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• 2008

Recently, as its growth and popularization, the Web is changed into the place where people express, share and debate their opinions rather than the space of information seeking. Accordingly, the needs for searching opinions expressed in the Web are also increasing. However, it is difficult to meet these needs by using a classical information retrieval system that only concerns the relevance between the user's query and documents. Instead, a more advanced system that captures subjective information through documents is required. The proposed system effectively retrieves opinionated documents by utilizing an existing information retrieval system. This paper proposes a kind of hybrid method which can utilize both a dictionary-based opinion analysis technique and a machine learning based opinion analysis technique. Experimental results show that the proposed method is effective in improving the performance.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.65-97
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• 2015

This essay aims to investigate the characteristics of the views of citizen participants of World Wide Views on Climate and Energy which was organized internationally targeting global policy making in Paris at COP21. It also analyzes the views of Korean citizen participants on climate change from the international comparative perspective. For this purpose, we try to outline the results of the consultations which offer 29 issues categorized into five sessions, such as importance of tackling climate change, tools to tackle climate change, UN negotiations and national commitments, fairness and distribution of efforts, making and keeping climate promises. As a result, we come to show some patterns and characteristics of the views of citizen participants in global and national context. Finally, we discuss some policy and theoretical implications of our findings regarding the future of international convention for climate change and of global citizenship formation.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.29-42
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• 2020

The purpose of this study is to present a qualitative research method for extracting and analyzing the comments written by YouTube video users. To do this, we used YouTube users' feedback to measure the hedonic, social, and utilitarian gratification of use and gratification theory(UGT) through by using analysis and topic modeling. The result of the measurement found that the first reason why users watch the trot singer, Cho Myung-sub's video in the KBS Korean broadcasting channel is to achieve hedonic gratification with high frequency. In word-document network analysis, the degree of centrality was high in words, such as 'cheering', 'thank you', 'fighting', and 'best'. Betweenness centrality is similar to the degree of centrality. Eigenvector centrality also shows that words such as 'love', 'heart', and 'thank you' are the most influential words of users' opinions. The results of the centrality analysis present that the majority of video users show their 'love', 'heart' and 'thank you' for the video. it indicates that the high words in centrality analysis is consistent with the high frequency words of hedonic and social gratification dimension of the UGT. The study has research methodological implication that shed light on the motivations for watching YouTube videos with UGT using text mining techniques that automate qualitative analysis, rather than following a survey-based structural equation model.

• Annual Conference on Human and Language Technology
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• 2013.10a
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• pp.53-58
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• 2013

온라인 소비자들은 amazon.com과 같은 온라인 상점 플랫폼에 상품 평가(리뷰: review) 글을 남김으로써 대상 상품에 대한 의견을 표현한다. 이러한 상품 리뷰는 다른 소비자들의 구매 결정에도 큰 영향을 끼친다는 관점에서 볼 때, 매우 중요한 정보원이라고 할 수 있다. 사람들이 남긴 의견 정보(opinion)를 자동으로 추출하거나 분석하고자 하는 연구인 감성 분석(sentiment analysis)분야에서 과거에 진행된 대다수의 연구들은 크게는 문서 단위에서 작게는 상품의 요소(aspect) 단위로 사용자들이 남긴 의견이 긍정적 혹은 부정적 감정을 포함하고 있는지 분석하고자 하였다. 이렇게 소비자들이 남긴 의견이 대상 상품 혹은 상품의 요소를 긍정적 혹은 부정적으로 판단했는지 여부를 판단하는 것이 유용한 경우도 있겠으나, 본 연구에서는 소비자들이 '어떤 관점'에서 대상 상품 혹은 상품의 요소를 평가했는지를 자동으로 추출하는 방법에 초점을 두었다. 본 연구에서는 형용사의 대표적인 성질 중 하나가 자신이 수식하는 명사의 속성에 값을 부여하는 것임에 주목하여, 수식된 명사의 속성을 추출하고자 하였고 이를 위해 WordNet을 사용하였다. 제안하는 방법의 효과를 검증하기 위해 3명의 평가자를 활용하여 실험을 하였으며 그 결과는 본 연구 방향이 감성분석에 있어 새로운 가능성을 열기에 충분하다는 것을 보여주었다.