• Journal of the Korean earth science society
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• v.21 no.4
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• pp.469-478
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• 2000

The abstracts written in Korean presented at the Fall Meeting of the Korean Earth Science Society held at the Kangwon National University in October, 1999 were reviewed. They are dotted with foreign expressions and obscure wordings as well as difficult expressions and very long sentences. The foreign expressions are those originated from Japanese, English, and Chinese expressions and words. Several suggestions are made to increase the ability to write good abstracts and articles in Korean on the earth sciences. They include reading many books on natural sciences for general readers, writing sentences not exceeding 20 words, critical reading by professor or colleagues, and open mind to accept their criticisms. The authors should pay attention not to commit various errors shown in Table 2 in this paper.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.903-913
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• 2013

Social network services generate a considerable amount of social data every day on personal feelings or thoughts. This social data provides changing patterns of information production and consumption but are also a tool that reflects social phenomenon. We analyze negative emotional words from daily blogs to detect the change in blooger sentiment using multivariate control charts. We used the all the blogs produced between 1 January 2008 and 31 December 2009. Hotelling's T-square control chart control chart is commonly used to monitor multivariate quality characteristics; however, it assumes that quality characteristics follow multivariate normal distribution. The performance of a multivariate control chart is affected by this assumption; consequently, we introduce the support vector data description and its extension (K-control chart) suggested by Sun and Tsung (2003) and they are applied to detect the chage in blogger sentiment.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.19-29
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• 2011

A Blog provides commentary, news, or content on a particular subject. The important part of many blogs is interactive format. Sometimes, there is a heated debate on a topic and any article becomes a political or sociological issue. In this paper, we proposed a method to predict the popularity of an article in advance. First, we used hit count as a factor to predict the popularity of an article. We defined the saturation point and derived a model to predict the hit count of the saturation point by a correlation coefficient of the early hit count and hit count of the saturation point. Finally, we predicted the virtual temperature of an article using 4 types(explosive, hot, warm, cold). We can predict the virtual temperature of Internet discussion articles using the hit count of the saturation point with more than 70% accuracy, exploiting only the first 30 minutes' hit count. In the hot, warm, and cold categories, we can predict more than 86% accuracy from 30 minutes' hit count and more than 90% accuracy from 70 minutes' hit count.

• Archives of design research
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• v.17 no.1
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• pp.361-372
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• 2004

This study would focus on two section of comparison about creative : one is on between advertisement in magazines as an old media and banner advertisements in websites, the other is on between woman target-oriented advertisement and man target-oriented one. This study commenced on the basis on the viewpoint of gender-design assuming prevalence of masculine ideology in advertisement in the context of men-built society. How delicate the expressions toward woman in woman target-oriented adverts\ulcorner The objectives of this study is as followed. The stereotype could be seen in magazine adverts and web-banner. We can conclude that changed media environment seldom affects in the old media and new media. Especially color stereotype is appeal.

• Archives of design research
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• v.13
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• pp.123-137
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• 1996

Weaving, is an ideal subject for study to designer who is concerned with interrelationship between art and technology. Double cloth is a two layered fabric that can be woven on the loom with more than 4 harnesses, is often used to produce special woven fabric such as double width fabric or reverse pattern fabric, etc, in textile industry. Because of the attractive characteristic of two layered structure, double cloth technique can be applied as expressive media in fiber art requiring aesthetics and creativty. in the work, the concept, types, and characteristics of double weave have been studied through literature survey and sample production and the potential characteristics of this technique is, especially, emphasized by analysing the representative works of artists specilized in a double weave. Double weave technique can provide various images or forms throught the variation of structures and expressive styles and therefore suggests another characteristic expression creative means for weaver to develope.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.563-569
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• 2012

The studies of opinion mining or sentiment analysis have been the focus with social web proliferation. Sentiment analysis requires sentiment resources to decide its polarity. In the existing sentiment analysis, they have been built resources designed with intensity of sentiment polarity and decided polarity of opinion using the ones. In this paper, I will present sentiment categories for not only polarity of opinion but also the basis of positive/negative opinion. I will define psychological emotions to primary sentiments for the reasonable classification. And I will extract the informations of sentiment from social web texts for the actual distribution of sentiments in social web. Re-classifying primary sentiments based on extracted sentiment information, I will organize sentiment categories for the social web. In this paper, I will present 23 categories of sentiment by using proposed method.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.226-229
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• 2009

최근 들어 인터넷 게시판이나 개인 블로그 등은 온라인상에서 사람들의 정보 공유나 의견 교환의 중요한 매체가 되고 있다. 많은 수의 블로그들은 현재 사회적으로 이슈가 되는 여러 문제들을 반영하고 있다. 또한 최근 댓글을 통해 적극적으로 자신의 의사 표현하거나 다른 사람들의 의견을 살피는 인터넷 사용자의 증가로 인터넷 뉴스나 블로그 기사에 많은 수의 댓글이 달리고 있다. 그러나 대부분의 블로그나 인터넷 포털 사이트의 경우 기사나 댓글들을 순차적인 목록 형태로 제공하므로 자신이 원하는 내용의 댓글을 검색하거나 전체 댓글에 대한 전반적인 파악은 힘든 일이다. 따라서 본 논문에서는 기사에 달린 많은 수의 댓글들을 분류하고, 이를 시각화 하는 시스템인 TRIB(Telescope for Responding comments for Internet Blog)을 제안한다. TRIB은 미리 정의된 사용자 정의 사전을 이용하여 댓글을 내용에 따라 분류하여 시각화 하므로 사용자들은 자신의 관심과 흥미에 따라 개인화 된 뷰를 볼 수 있다. 1,000개 이상의 댓글을 가진 뉴스 기사들을 대상으로 한 실험을 통해 TRIB 시스템의 댓글 분류와 시각화 성능을 보인다.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.19-33
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• 2009

With the continuously increasing volume of e-commerce transactions, it is now popular to buy some products and to evaluate them on the World Wide Web. The product reviews are very useful to customers because they can make better decisions based on the indirect experiences obtainable through the reviews. Product Reviews are results expressing customer's sentiments and thus are divided into positive reviews and negative ones. However, as the number of reviews in on-line shopping increases, it is inefficient or sometimes impossible for users to read all the relevant review documents. In this paper, we present a sentiment analysis algorithm for automatically classifying subjective opinions of customer's reviews using opinion mining technology. The proposed algorithm is to focus on product reviews of on-line shopping, and provides summarized results from large product review data by determining whether they are positive or negative. Additionally, this paper introduces an automatic review analysis system implemented based on the proposed algorithm, and also present the experiment results for verifying the efficiency of the algorithm.

• Korean journal of communication and information
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• v.52
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• pp.48-68
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• 2010

In covering the controversies surrounding the so-called cyber defamation laws, the Korean press offered competitive frames in terms of values (security vs. freedom of speech) and attributional patterns (episodic vs. thematic attribution). By attending to core values and attributional patterns as two essential components of news frames, this study explored the cognitive and affective processes of value and attributional framing and their effects on issue opinion. According to a 3-group online experiment, first, it was found that core values increased the perceived importance of relevant beliefs, which further affected individuals' attitudes toward the laws. The affective effects of core values were also found marginally significant. The value of security increased the intensity of anger toward deviant netizens (so-called defamatory repliers), and it further increased individuals' support for the laws. It was not substantiated, however, that individualistic attribution, than social attribution, would provoke stronger anger toward defamatory repliers. Instead, episodic frames appeared to be more effective in driving issue opinion as indicated by the value frame.

• Journal of The Korean Association For Science Education
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• v.22 no.3
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• pp.660-670
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• 2002

The purposes of this study were to categorize the type of student-student interaction and analyze the pattern of group interaction by cognitive level in interactive science inquiry experiments. For this study, two homogeneous and two heterogeneous groups by cognitive level were selected. Social interactions during group discussions were audio/video taped. The types of student's interaction were classified as intellectual and emotional aspects. Intellectual aspects were consisted of asking question, response, making suggestion, receiving opinion and then further coded by interaction level. Emotional aspects were consisted of relevance to behavioral participation, relevance to students' feeling, reaction to opinion. Interaction frequency in the intellectual and emotional aspect between homogeneous and heterogeneous group were compared to analyze interaction pattern. The results of this study showed that in intellectual aspect the frequency and quality of interaction in homogeneous group was higher than that in heterogeneous group. In emotional aspect. homogeneous group more showed such negative attitude as lack of confidence and dissatisfaction than heterogeneous group, on the other hand showed acceptable mood to be able to accept or object to peer's opinion. Some educational implications were drawn.