• Title/Summary/Keyword: 의견

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끼워팔기(Tying)에 관한 미국 법원의 판결(II) - Jefferson Parish Hospotal District NO.2 et al. v. Hyde(1984) 판결

  • 서헌제
    • Journal of Korea Fair Competition Federation
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    • no.30
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    • pp.57-61
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    • 1998
  • 스티븐스판사는 이 사건에 대한 법원의 의견을 제시하였다. 비록 브레난판사와 오커너판사가 별도의 의견을 제시하였으나, 반대의견은 없었다. 스티븐스판사의 의견과 브레난판사는 끼워팔기를 평가함에 있어서 당연위법의 접근방법을 유지하기 위하여 노력하였다. 다음의 의견은 법적으로는 동일한 결론에 도달하였으나, 그 방법은 서로 다르다.

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Fusion Approach to Targeted Opinion Detection in Blogosphere (블로고스피어에서 주제에 관한 의견을 찾는 융합적 의견탐지방법)

  • Yang, Kiduk
    • Journal of Korean Library and Information Science Society
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    • v.46 no.1
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    • pp.321-344
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    • 2015
  • This paper presents a fusion approach to sentiment detection that combines multiple sources of evidence to retrieve blogs that contain opinions on a specific topic. Our approach to finding opinionated blogs on topic consists of first applying traditional information retrieval methods to retrieve blogs on a given topic and then boosting the ranks of opinionated blogs based on the opinion scores computed by multiple sentiment detection methods. Our sentiment detection strategy, whose central idea is to rely on a variety of complementary evidences rather than trying to optimize the utilization of a single source of evidence, includes High Frequency module, which identifies opinions based on the frequency of opinion terms (i.e., terms that occur frequently in opinionated documents), Low Frequency module, which makes use of uncommon/rare terms (e.g., "sooo good") that express strong sentiments, IU Module, which leverages n-grams with IU (I and you) anchor terms (e.g., I believe, You will love), Wilson's lexicon module, which uses a collection-independent opinion lexicon constructed from Wilson's subjectivity terms, and Opinion Acronym module, which utilizes a small set of opinion acronyms (e.g., imho). The results of our study show that combining multiple sources of opinion evidence is an effective method for improving opinion detection performance.

Internet Users' Willingness to Expression and Perception of Public Opinion: The Comparison between Real Space and Cyber Space (인터넷 이용자의 여론 지각과 의견 표현: 현실공간과 사이버공간의 비교)

  • Han, Hye-Kyoung
    • 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.

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An Experimental Study on Opinion Classification Using Supervised Latent Semantic Indexing(LSI) (지도적 잠재의미색인(LSI)기법을 이용한 의견 문서 자동 분류에 관한 실험적 연구)

  • Lee, Ji-Hye;Chung, Young-Mee
    • Journal of the Korean Society for information Management
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    • v.26 no.3
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    • pp.451-462
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    • 2009
  • The aim of this study is to apply latent semantic indexing(LSI) techniques for efficient automatic classification of opinionated documents. For the experiments, we collected 1,000 opinionated documents such as reviews and news, with 500 among them labelled as positive documents and the remaining 500 as negative. In this study, sets of content words and sentiment words were extracted using a POS tagger in order to identify the optimal feature set in opinion classification. Findings addressed that it was more effective to employ LSI techniques than using a term indexing method in sentiment classification. The best performance was achieved by a supervised LSI technique.

Analysis of Opinions Suggested by High School Students in the Critical Opinion Activity on Inquiry (탐구에 대한 비판적 의견 제시 활동에서 고등학생이 제시한 의견 분석)

  • Son, Yoora;Lee, Bongwoo
    • Journal of Science Education
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    • v.45 no.3
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    • pp.304-316
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    • 2021
  • The purpose of this study is to analyze high school students' critical opinions on others' inquiries in small group open inquiry. Forty-one high school students participated in these activities at the inquiry planning stage and the intermediate stage of inquiry. In the two activities, 595 and 233 opinions were presented respectively, and analyzed into categories based on the inquiry process. The main research results are as follows: first, many opinions were presented in the areas of 'problem recognition and hypothesis setting' and 'design of inquiry' in the feedback on the inquiry plan, especially related to 'revision and addition of research problems,' 'research targets and conditions,' and 'control of variables.' Second, in the feedback on the results of the inquiry, there were many opinions related to 'report preparation' and 'design of inquiry' area. Based on the research results, implications related to the application of critical opinion activity were discussed.

Public Opinions Perception and Expression of Individual Opinion by Issue Types in the Internet (인터넷 공간에서의 이슈 유형별 여론지각과 의견표명에 관한 연구: 인터넷 여론조사와 게시판을 중심으로)

  • Park, Sung-Hee;Park, Eun-Mi
    • 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.

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Opinion Retrieval in Twitter Considering Syntactic Relations of Sentiment Phrase (의견 어구의 구문 관계를 고려한 트위터 의견 검색)

  • Kim, Yoonsung;Yang, Min-Chul;Lee, Seung-Wook;Rim, Hae-Chang
    • 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.

Semi-Supervised Learning for Sentiment Phrase Extraction by Combining Generative Model and Discriminative Model (의견 어구 추출을 위한 생성 모델과 분류 모델을 결합한 부분 지도 학습 방법)

  • Nam, Sang-Hyob;Na, Seung-Hoon;Lee, Ya-Ha;Lee, Yong-Hun;Kim, Jun-Gi;Lee, Jong-Hyeok
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06c
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    • pp.268-273
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    • 2008
  • 의견(Opinion) 분석은 도전적인 분야로 언어 자원 구축, 문서의 Sentiment 분류, 문장 내의 의견 어구 추출 등의 다양한 문제를 다룬다. 이 중 의견 어구 추출문제는 단순히 문장이나 문서 단위로 분류하는 수준을 뛰어 넘는 문장 내 의견 어구를 추출하는 문제로 최근 많은 관심을 받고 있는 연구 주제이다. 그러나 의견 어구 추출에 대한 기존 연구는 문장 내 의견 어구부분이 태깅(tagging)된 학습 데이터와 의견 어휘 자원을 이용한 지도(Supervised)학습을 이용한 접근이 대부분으로 실제 적용 상의 한계를 갖는다. 본 논문은 문장 내 의견 어구 부분이 태깅된 학습 데이터와 의견 어휘 자원이 없는 환경에서도 문장단위의 극성 정보를 이용하여 의견 어구를 추출하는 부분 지도(Semi-Supervised)학습 장법을 제안한다. 본 논문의 방법은 Baseline에 비하여 정확률(Precision)은 33%, F-Measure는 14% 가량 높은 성능을 냈다.

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The Impact of Chinese Cultural Dispositions on the SNS eWOM Behavior (중국소비자의 문화성향이 SNSs 구전행동에 미치는 영향)

  • Lee, Youkyung
    • International Area Studies Review
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    • v.15 no.3
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    • pp.493-511
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    • 2011
  • This study investigate the impacts of Chinese consumers' cultural dispositions on the WOM behaviors in SNS. Specifically, cultural dispositions in the individual-level, collectivism and uncertainty avoidance, were examined as potential predictors of eWOM behaviors in SNSs. Hypotheses are tested with a sample of 164 university students in Shanghai, China. The results of the structural equation analysis reveal that chinese consumers' collectivism in the individual-level positively affects the opinion seeking behavior. And chinese consumers' uncertainty avoidance in the individual-level positively affects the opinion seeking behavior and negatively affects the opinion giving behavior. Lastly, the opinion giving behavior positively affects the pass along behavior. Theoretical and managerial implications for Internet marketers in China were presented and discussed.

Asymmetric Effect of Social Sentimental on an Individual Stock Price Return (소셜 감성이 개별 기업 주식수익률에 미치는 비대칭적 영향 분석)

  • Sei-Wan Kim;Jee-Won Park;Young-Min Kim;Hee Kyung Ham
    • Information Systems Review
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    • v.22 no.4
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    • pp.59-74
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    • 2020
  • This paper investigates the asymmetric effect of social sentimental on an individual stock price return. For this purpose, four companies such as POSCO, Korean Electricity, AMORE PACIFIC, KIA Motors are chosen from KOSPI listed companies in terms of dataperspective. The main estimation results are as follows: the positive opinions affect only the stock prices return of three companies while the negative opinions affect all of the companies. It shows that positive or negative texts give asymmetric effect on stock price return and the effect of negative opinions is bigger than that of positive opinions. The results imply that investors are more sensitive to the negatives since they have the tendency of loss aversion. Also, it indicates that subjective opinion on SNS can be used as the proxy for the investment sentiment.