• Title/Summary/Keyword: Positive Opinion

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Opinion Extraction based on Syntactic Pieces

  • Aoki, Suguru;Yamamoto, Kazuhide
    • Proceedings of the Korean Society for Language and Information Conference
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    • 2007.11a
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    • pp.76-85
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    • 2007
  • This paper addresses a task of opinion extraction from given documents and its positive/negative classification. We propose a sentence classification method using a notion of syntactic piece. Syntactic piece is a minimum unit of structure, and is used as an alternative processing unit of n-gram and whole tree structure. We compute its semantic orientation, and classify opinion sentences into positive or negative. We have conducted an experiment on more than 5000 opinion sentences of multiple domains, and have proven that our approach attains high performance at 91% precision.

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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.

Causal model analysis between quantity and quality for deriving ranking model of Online reviews (온라인리뷰의 랭킹모델링을 위한 양과 질의 인과모형 분석)

  • Lee, Changyong;Kim, Keunhyung
    • The Journal of Information Systems
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    • v.28 no.1
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    • pp.1-16
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    • 2019
  • Purpose The purpose of this study is to analyze causal relationship between quantity and quality for deriving ranking model of Online reviews. Thus, we propose implications for deriving the ranking model for retrieving Online reviews more effectively. Design/methodology/approach We collected Online review from Tripadvisor web sites which might be a kind of world-famous tourism web sites. We transformed the natural text reviews to quantified data which consists of quantified positive opinions, quantified negative opinions, quantified modification opinions, reviews lengths and grade scores by using opinion mining technologies in R package. We executed corelation and regression analysis about the data. Findings According to the empirical analysis result, this study confirmed that the review length influenced positive opinion, negative opinion and modification opinion. We also confirmed that negative opinion and modification opinion influenced the grade score.

Analysis on Port Image for Development of Port-City Considered Environment using Fuzzy Theory (친환경 항만도시 개발을 위한 항만의 인식 분석 - 인천항만을 중심으로 -)

  • Jang Woon-Jae;Keum Jong-Soo
    • Proceedings of KOSOMES biannual meeting
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    • 2005.11a
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    • pp.79-84
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    • 2005
  • This paper proposes an analysis to image of inchon port using fuzzy theory. After analysis, positive opinion is mean membership function 0.73 and positive membership function 0.27, negative opinion is mean membership function 0.69, negative membership function 0.31 about inchon port development. therefore, for port development need to accomodation of each opinion postive opinion is maximum decrease from 20 age to 30 age. and negative opinion is maximum increase from 10 age to 20 age. According to the results, port development need to high positive image and low negative image.

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A Study on the Characteristics of Opinion Retrieval Using Term Statistical Analysis in Opinion Documents (의견 문서의 단어 통계 분석을 통한 의견 검색 특성에 관한 연구)

  • Han, Kyoung-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.11
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    • pp.21-29
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    • 2010
  • Opinion retrieval which searches the opinions expressed in documents by users cannot outperform significantly yet traditional topical retrieval which searches the facts. Therefore, the focus of this paper is to identify the statistical characteristics which can be applied to opinion retrieval by comparing and analyzing the term statistics of opinion and non-opinion documents in the blog domain. The TREC Blogs06 collection and 150 TREC topics are used in the experiments. The difference between term probability distributions in opinion documents is measured by JS divergence, and the difference according to the topic types and topic domains is also investigated. Moreover, the term probabilities of opinion terms are analyzed comparatively. The main findings of this study include the following: it is necessary to consider the topic-specific characteristics for the opinion detection; it is effective to extract positive and negative opinion terms according to the topics; the topic types are complementary to the topic domains; and special attention has to be given to the usage of the positive opinion terms.

The Effect of Social Support for Adolescents on Self Management, Appearance Satisfaction and Fashion Opinion Leadership (사회적 지지가 청소년의 자기관리, 외모만족도 및 유행의사선도력에 미치는 영향)

  • Oh, Kyung-Wha;Kim, Hyun-Sook
    • Journal of the Korean Home Economics Association
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    • v.49 no.10
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    • pp.71-79
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    • 2011
  • When adolescents undergo the period of transition, they need to promote self-confidence from social support by parents, teachers or friends. It was believed that boosting subjective perception on their main areas of interest such as academic performance, appearance and fashion will result in happiness. The main purpose of this study was to investigate the influence of social support including family support, teacher support and friend support on self management, appearance satisfaction and fashion opinion leadership. A total of 412 questionnaires from the middle and high school students living in or near Seoul were collected and analyzed. The results indicated that teacher support and family support had a positive effect on self-management and family support had a positive effect on appearance satisfaction. Furthermore, friend support had a positive effect on fashion opinion leadership. In conclusion, implications for promoting self-confidence related to self-management, appearance satisfaction and fashion opinion leadership with the help of social support are suggested.

Analysis on Port Image for Development of Port-City Considered Environment Using Fuzzy Theory (친환경 항만도시 개발을 위한 항만의 인식 분석 - 인천항만을 중심으로 -)

  • Jang Woon-Jae;Keum Jong-Soo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.12 no.2 s.25
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    • pp.145-150
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    • 2006
  • This paper proposes an analysis to image of Inchon port using fuzzy theory. After analysis, positive opinion is mean membership function 0.73 and positive membership function 0.27, negative opinion is mean membership function 0.69, negative membership function 0.31 about Inchon port development. therefore, for port development need to accomodation of each opinion positive opinion is maximum decrease from 20 age to 30 age. and negative opinion is maximum increase from 10 age to 20 age. According to the results, port development need to high positive image as leisure and development of waterfront and low negative image as integrated port management and strategy of considered environment port.

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The Public Opinion of Corporate Social Responsibility Activities in South Korea: Examining the Effects of Communal and Exchange Relationships Between Citizens and Corporations

  • Lee, Soobum;Jin, Bumsub
    • Asian Journal for Public Opinion Research
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    • v.4 no.2
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    • pp.108-122
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    • 2017
  • This study explores how South Korean citizens evaluate corporate social responsibility (CSR) practices based on communal and exchange relationships. Specifically, it examines whether their evaluations of the two types of relationships are related to their supportive opinions, such as positive attitudes toward corporations and behavioral intentions to purchase products. The findings show that the communal relationship between an energy corporation and its local residents is more related to their supportive opinions than exchange relationship. That is, a communal relationship tends to generate more positive business outcomes than an exchange relationship. This study concludes that corporations should prepare for useful community outreach and CSR programs for their local community. Practitioners need to focus on building communal relationships with community members through their programs.

Effects of Opinion Leader Behavior on E-learning Satisfaction: The Mediating Role of Social Intelligen (오피니언 리더의 행위가 온라인 학습에서 콘텐츠 만족도와 운영 만족도에 미치는 영향: 사회적 지능의 매개효과를 중심으로)

  • Seo, Moon-Kyo;Bae, Eun-Gyung
    • The Journal of the Korea Contents Association
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    • v.12 no.5
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    • pp.346-356
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    • 2012
  • The purpose of this study is to examine the effect of opinion leader behavior on E-learning satisfaction on the mediating role of social intelligence. For the study, opinion leader behavior were defined two groups such as information mediated behavior, influence behavior and e-learning satisfaction were defined two groups such as contents satisfaction, operation satisfaction. On the basis of theoretical linkages between the constructs, a conceptual model and hypotheses were established. Data were collected from 153 graduated students by structured questionnaires. Collected data were analyzed by PLS(Partial Least Square) statistics program and findings are as follows. Empirical results indicate that opinion leader behavior has a positive impact on opinion leader's social intelligence, social intelligence has a positive impact on E-learning satisfaction. Opinion leader's social intelligence has partially mediated effect on the relationship between opinion leader behavior and E-learning satisfaction.

Web Contents Mining System for Real-Time Monitoring of Opinion Information based on Web 2.0 (웹2.0에서 의견정보의 실시간 모니터링을 위한 웹 콘텐츠 마이닝 시스템)

  • Kim, Young-Choon;Joo, Hae-Jong;Choi, Hae-Gill;Cho, Moon-Taek;Kim, Young-Baek;Rhee, Sang-Yong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.1
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    • pp.68-79
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    • 2011
  • This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.