• Journal of the Korean Society for Library and Information Science
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• v.47 no.4
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• pp.315-334
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• 2013

This study performs opinion mining of newspaper articles, based on topics extracted by topic modeling. We analyze the attitudes of the news media towards a major issue of 'presidential election', assuming that newspaper partisanship is a kind of opinion. We first extract topics from a large collection of newspaper texts, and examine how the topics are distributed over the entire dataset. The structure and content of each topic are then investigated by means of network analysis. Finally we track down the chronological distribution of the topics in each of the newspapers through time serial analysis. The result reveals that both the liberal newspapers and the conservative newspapers exhibit their own tendency to report in line with their adopted ideology. This confirms that we can count on opinion mining technique based on topics in order to analyze opinion in a reliable fashion.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.1-7
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• 2020

We can build regular customer relationships combining SNS (social networking service) with shopping mall like offline trade. A customer who once purchased is registered as reaular and the relationship continues afterward. The registered regular customer get sthe information about objective product shipment and besides it, he contacts with a story of frams, growth of vegetables, sows to harvests. Consumer can purchase with one click necessary foods as he looks at timeline. Sellers give information about news. discounts to customers. Besides it, food storages, recipes can be given to consumers. The good point here is that selling and promoting can be performed within one account. This is better than link is provided for selling an promoting separately. Like this, besides personal connections using SNS, categorization function gives consumers on line shopping mall service. Once the consumer purchase, he is registered as regular. Besides, the consumers who do not know each other, can share information, suggest products, spread the news.

• Journal of Fashion Business
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• v.20 no.1
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• pp.127-141
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• 2016

Korea traditional dresses are making news everyday through popular media and a number of exhibitions and fashion shows that have been held as a way to activate the use of the hanbok. This study intends to examine the current status of handbook brands and analyze the aesthetic characteristics of the hanbok. This study defined the terms related with the hanbok and examined the chronological changes in the hanbok through a literature review, an examination of the aesthetic characteristics of Korean traditional clothing, and an analysis of the aesthetic characteristics by dividing currently available hanbok brands in to the traditional hanbok. According to the results of the study, hanbok brands were divided into Traditional Hanbok, Life Hanbok, and New Hanbok. The Traditional Hanbok brands represented traditional beauty, the beauty of formality, symbolic beauty, and the beauty of nature. The Life Hanbok brands represented symbolic beauty, natural beauty, the beauty of blending, and the proportional beauty. The New Hanbok brands represented natural beauty, unproportaional beauty, the beauty of line, and the beauty of moderation. Therefore the New Hanboks gave changes to the traditional clothing and the unique clothing of our nation. Its formative elements coexist according to their characteristics.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.4
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• pp.133-145
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• 2023

Competition is intensifying as the golfwear market grows and expands rapidly due to the influx of MZ generation golfers, so it is necessary to plan knit golfwear products suitable to consumer needs The purpose of this study is to contribute to product planning by analyzing knit design factors according to the brand image of golfwear. First, the top five sales brands surveyed by Apparel News were selected. The selected brands were G-Fore, PXG, Malbon Golf, Titleist, and Mark & Lona. Knit products sold by the selected golfwear brands were investigated based on design factors, such as image, item, stich, yarn, color, and pattern to analyze knit design factors according to brand image. G-Fore's modern classical image was influenced by pullovers, vest items, 100% wool, color contrast, intasha stich, and monotone colors. PXG's sporty modern image was due to a mixture of rayon and polyester in jumper items, while Malbon Golf's American casual image applied character patterns and intasha knitwear. Line points, plain knitwear, and monotone colors were analyzed as design factors for Titleist's modern minimal image, while Mark & Lona's classic casual was analyzed as knit design factors, such as check patterns and jacquard knitwear. Differences in knit design factors according to brand image can be identified.

• Journal of Fashion Business
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• v.25 no.1
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• pp.150-164
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• 2021

This study analyzed the punk style shown in the movie Sid and Nancy (1986), based on a true story. The purpose of this study was to prove that the styles of the main characters had some discriminatory mode as an anti-fashion with not only the value system of the subculture but also the diverse cultural codes applied, revealing their identity. The scope of this study covered the 1970s when Sid died while a member of the Sex Pistols, but was limited to the analysis of Sid and Nancy's costumes. As theoretical background, this study reviewed the preceding studies, specialty books, movie-related sites and their postings, and on-line news reports. To analyze the movie costumes, relevant scenes on the DVD were captured, and thereby, the scenes were categorized per character and style but a performance scene was categorized Sid and Nancy as same punky wedding style because of intention spirituality to marriage by director, and thereupon, 17-cut images were used for the analysis of main characters' styles. Sid's style consisted primarily of black leather jackets, symbolic T-shirts, and jeans, whereas Nancy's style implied a punk style with added fetish styles. Even in the same punk style, their identities were symbolized through bricolage. Through this, subculture styles, were able to confirm that in addition to the value system of subculture, discriminatory modes as anti-fashion with various cultural codes played a role in revealing their identity.

• Korean Educational Research Journal
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• v.43 no.1
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• pp.1-27
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• 2022

As the COVID-19 virus became prevalent worldwide, non-face-to-face contact was implemented in various ways, and the education system also began to draw much attention due to rapid non-face-to-face contact. The purpose of this study is to analyze the direction of non-face-to-face education in line with the continuously changing educational environment to date. In this study, data were visualized using Textom and Ucinet6 analysis tool programs to collect social network big data with various opinions. As a result of the study, keywords related to "COVID-19" were dominant, and keywords with high frequency such as "article" and "news" existed. As a result of the analysis, various issues related to non-face-to-face education, such as network failures and security issues, were identified. After the analysis, the direction of the non-face-to-face education system was studied according to the growth of the education market and changes in the educational environment. In addition, there is a need to strengthen security and feedback on teaching methods in non-face-to-face education analyzed using big data.

• The Research Journal of the Costume Culture
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• v.20 no.1
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• pp.36-48
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• 2012

This study intends to provide fundamental data to develop creative high-value designs, proving that the cut-out technique, a decorative element of fashion design, can be used to express various visual effects. The author performed a literature review of such publications as Gap Press, Fashion News, and Mode & Mode from 2001S/S to 2010S/S, referring to Internet data to empirically analyze the cut-out technique in contemporary fashion. The study found that the cut-out design is effective overall, but is best suited for one-piece designs and for partial rather than whole items of clothing. The basic motif of the cut-out is a geometrical pattern based on a line, a tear, or is shapeless. The cut-out design is mostly shown as an overall pattern or as a symmetrical shape. Analysis shows that the characteristics of the contemporary fashion utilizing the cut-out technique are as follow: First, the cut-out technique exposes the curves of a woman's body in a direct or indirect way, thereby emphasizing her sexuality and maximizing the value of female beauty. Second, through the cut-out technique, we can highlight the various types of space formed by the technique and repeated patterns; we may also elaborate on single-patterned laser-cut designs, which will show that the particular surface effect of the material can strongly impact the attractiveness of the design through emphasis and decoration. Third, damaging or destroying clothes on purpose, showing surprising concepts through optical illusions, and expressing humor by ignoring existing clothing styles show our willingness to escape from traditional or obvious design ideas, as well as demonstrating individuality and playfulness.

• Journal of KIISE:Information Networking
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• v.34 no.3
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• pp.156-167
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• 2007

In this paper, we develop the model based prediction algorithm for Variable-Bit-Rate(VBR) video traffic with regular Group of Picture(GOP) pattern. We use multiplicative ARIMA process called GOP ARIMA (ARIMA for Group Of Pictures) as a base stochastic model. Kalman Filter based prediction algorithm consists of two process: GOP ARIMA modeling and prediction. In performance study, we produce three video traces (news, drama, sports) and we compare the accuracy of three different prediction schemes: Kalman Filter based prediction, linear prediction, and double exponential smoothing. The proposed prediction algorithm yields superior prediction accuracy than the other two. We also show that confidence interval analysis can effectively detect scene changes of the sample video sequence. The Kalman filter based prediction algorithm proposed in this work makes significant contributions to various aspects of network traffic engineering and resource allocation.

• Journal of KIISE:Software and Applications
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• v.36 no.3
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• pp.236-243
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• 2009

With advances in topic detection and tracking(TDT), automatic trend analysis from a collection of time-stamped documents, like patents, news papers, and blog pages, is a challenging research problem. Past research in this area has mainly focused on showing a trend line over time of a given concept by measuring the strength of trend-associated term frequency information. for detection of emerging trends, either a simple criterion such as frequency change was used, or an overall comparison was made against a training data. We note that in order to show most salient trends detected among many possibilities, it is critical to devise a ranking function. To this end, we define four properties(change, persistency, stability and volume) of trend lines drawn from frequency information, to quantify various aspects of trends, and propose a method by which trend lines can be ranked. The properties are examined individually and in combination in a series of experiments for their validity using the ranking algorithm. The results show that a judicious combination of the four properties is a better indicator for salient trends than any single criterion used in the past for ranking or detecting emerging trends.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.131-142
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• 2011

In recent years, Social Network Service, which is defined as a web-based service that allows an individual to construct a public or a semi-public profile within a bounded system, articulates a list of other users with whom they share connections, and traverses their list of connections. For example, Facebook and Twitter are the representative sites of Social Network Service, and these sites are the big issue in the world. A lot of people use Social Network Services to connect and maintain social relationship. Recently the users of Social Network Services have increased dramatically. Accordingly, many organizations become interested in Social Network Services as means of marketing, media, communication with their customers, and so on, because social network services can offer a variety of benefits to organizations such as companies and associations. In other words, organizations can use Social Network Services to respond rapidly to various user's behaviors because Social Network Services can make it possible to communicate between the users more easily and faster. And marketing cost of the Social Network Service is lower than that of existing tools such as broadcasts, news papers, and direct mails. In addition, Social network Services are growing in market place. So, the organizations such as companies and associations can acquire potential customers for the future. However, organizations uniformly communicate with users through Social Network Service without consideration of the characteristics of the networks although networks have different effects on information deliveries. For example, members' cohesion in an offline communication is higher than that in an online communication because the members of the offline communication are very close. that is, the network of the offline communication has a strong tie. Accordingly, information delivery is fast in the network of the offline communication. In this study, we compose two networks which have different characteristic of communication in Twitter. First network is constructed with data based on an offline communication such as friend, family, senior and junior in school. Second network is constructed with randomly selected data from users who want to associate with friends in online. Each network size is 250 people who divide with three groups. The first group is an ego which means a person in the center of the network. The second group is the ego's followers. The last group is composed of the ego's follower's followers. We compare the networks through social network analysis and follower's reaction analysis. We investigate density and centrality to analyze the characteristic of each network. And we analyze the follower's reactions such as replies and retweets to find differences of information delivery in each network. Our experiment results indicate that density and centrality of the offline communicationbased network are higher than those of the online-based network. Also the number of replies are larger than that of retweets in the offline communication-based network. On the other hand, the number of retweets are larger than that of replies in the online based network. We identified that the effect of information delivery in the offline communication-based network was different from those in the online communication-based network through experiments. So, you configure the appropriate network types considering the characteristics of the network if you want to use social network as an effective marketing tool.