• Design Convergence Study
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• v.14 no.4
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• pp.1-16
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• 2015

This study aims to understand distribution of the sentimental words on each genre and find relationship between box office performance and sentimental words in movie review using 673 movies that have more than 1,000 reviews. For the analysis, crawling movie reviews and made data was composed movie genre, movie name, sales, attendance, screen, normal attendance, 7 sentimental words. For analysis results, we used correlation analysis and Parallel coordinates. As a results, First, the highest box office value of the genre is comedy and the lowest box office value of the genre is horror through analyze box office on each genre. Secondly, Movie genre of fantasy feel a lot of boring emotion and Movie genre of SF feel a lot of anger emotion even if 'Happy' and 'Surprise' have highest sentiment value on every genre. Third, We found 'Anger' increase sentimental value when 'Disgust' increase sentimental value and 'Surprise' decrease sentimental value when 'Happy' increase sentimental value through analyze correlation relationship between sentimental words using total data. Fourth, We found 'Happy' have linear relationship between box office and 'Fear' have non-linear relationship between box office through analyze sentimental words according to box office performance.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.43-60
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• 2012

Identifying citing sentences from article full-text is a prerequisite for creating a variety of future academic information services such as citation-based automatic summarization, automatic generation of review articles, sentiment analysis of citing statements, information retrieval based on citation contexts, etc. However, finding citing sentences is not easy due to the existence of implicit citing sentences which do not have explicit citation markers. While several methods have been proposed to attack this problem for English, it is difficult to find such automatic methods for Korean academic literature. This article presents a rule-based approach to identifying Korean citing sentences. Experiments show that the proposed method could find 30% of implicit citing sentences in our test data in nearly 70% precision.

• Journal of Energy Engineering
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• v.11 no.4
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• pp.332-341
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• 2002

This Paper discusses a theoretical approach to assess the acceptability on nuclear energy facili-ties and policies, that is associated with derivation of indicators influencing perception on the nuclear energy. Facets of the public perception include the necessity of nuclear energy, expected benefits and costs, possi-bility of control, nuclear energy risk sentiment level, and equality between present and future generations. It also identifies indicators directly or indirectly affecting the perception facets and classifies them into the knowledge-based and the trust-based. Knowledge on nuclear energy facility is acquired on the foundation of the understanding of fact, through information, education, PR, and experience the media. Meanwhile, trust on nuclear energy Policies as value judgment on reality is built through legitimacy, communication, compensa-tion, participation, and the media. Multi-dimensional analysis on nuclear energy acceptability will provide a key to developing a more realistic and mutually agreeable policies and solving the imminent issues.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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• pp.33-41
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• 2010

Patterns are symbolic expressions of life style or sentiment of people as a product of culture. Furthermore, it is a type of language that the shape or implication does not change much over time. Patterns shown on the Korean medical containers are related to human life and health that they are not very diverse and splendid but closed used in real life. The medical containers include the alcohol container or tea-ware in broad sense, but under this study, it would be handled only for the Korean medical containers directly used to protect human health and treatment of diseases. They would be the Medicine Mortar and Pestle that is used to grind the herbal medical ingredients, pots that hold the liquid decoction, containers to keep the medical ingredients in general conceptual use for medical purposes. The patterns inscribed are classified in animal pattern, plant pattern or alphabet pattern. Turtle, crane, ginseng, and life patterns have the contemplation to pray for long life without disease or good fortune, while plum pattern, dragon pattern and the like are used in the medical containers used mainly in royal families with the social status and dignity shown. As such, patterns have not only ornament elements but also the symbolic implication to represent long life without illness for human. It provides the basic data of medical wisdom contained in the pattern and willingness of human to protect life from illness. On the basis of such research, it would require ensuing studies to make comparison and analysis with the medical containers with the patterns in the adjacent countries in the days to come.

• Journal of the Korean Society of Costume
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• v.64 no.7
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• pp.57-67
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• 2014

This study aims to provide visual data from analysis of the Depaysement approaches with new viewpoints to inspire and develop new fashion window design ideas. The literature and existing researches related to Depaysement were analyzed for theoretical review, and Depaysement expression approaches were identified by expression characteristics. Theme concepts using traditional Korean images, which could be applied to fashion window displays in Korea, were established, and K(Korean)-fashion design was created to develop fashion window display design. Then, the Depaysement fashion window display was executed using Adobe Illustrator and Photoshop. The results of this study are summarized below. 'Change of forms and materials' could visualize the factors inducing curiosity, which can directly stimulate the consumption sentiment lying latent in the mind of observers by assigning new values to fashion goods displayed inside windows. Unconscious experience and remarkable stories, which are not possible to encounter in an everyday setting, can be visualized through the window display in 'heterogeneous combination of objects.' 'The location change of an object' could express the refreshing and shocking scene to give weird anxiety and mental contradiction to observers by fashion window display, which could break fixed idea of human beings. 'The change of object awareness' could express contradiction and denial, which could liberate the unconsciousness lying latent inside observers through fashion window display. 'Change of spatial awareness' could create the design which maximized the fashion images of goods displayed by helping the observers to change the space of their unconsciousness selectively at their will through the fashion window display with hidden, strange, ambiguous and variable image like a riddle.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.559-566
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• 2007

Subjective sentences express opinions, emotions, evaluations and other subjective ideas relevant to products or events. These expressions sometimes can be seen in only part of a sentence, thus extracting features from a full-sentence can degrade the performance of subjective-sentence-classification. This paper presents a method for improving the performance of a subjectivity classifier by combining two classifiers generated from the different representations of an input sentence. One representation is a sentimental phrase that represents an automatically identified subjective expression or objective expression and the other representation is a full-sentence. Each representation is used to extract modified n-grams that are composed of a word and its contextual words' polarity information. The best performance, 79.7% accuracy, 2.5% improvement, was obtained when the phrase-level classifier and the sentence-level classifier were merged.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.449-457
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• 2020

The visual representation of plants applied to traditional Korean ceramics is based on the consciousness and sentiment of the Korean people, and one can see the auspicious aspirations and exorcisms that people pursued at that time. These symbolic expressions have been extended in new and colorful meanings through the shapes and decorations of ceramics and their fusion. In this study, the phenomena of convergence expression seen in traditional Korean ceramics are divided into type and type, type and decoration, and their special meaning is analyzed. For this purpose, the shapes and decorations of plants used in traditional Korean pottery are considered based on the literature information. Chapter 2 gives a general analysis of plants that have meanings in their shapes and decorations and introduces their meanings. In Chapter 3, based on the characteristics and meanings of plants, it is divided into shapes and shapes, shapes and decorations, and the convergence of decorations and decorations, and presents newly manifested meanings through their fusions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.5
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• pp.243-253
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• 2012

An opinion mining technique which was developed from document classification in area of data mining now becomes a common interest in domestic as well as international industries. The core of opinion mining is to decide precisely whether an opinion document is a positive or negative one. Although many related approaches have been previously proposed, a classification accuracy was not satisfiable enough to applying them in practical applications. A opinion documents written in Korean are not easy to determine a polarity automatically because they often include various and ungrammatical words in expressing subjective opinions. Proposed in this paper is a new approach of classification of opinion documents, which considers only a frequency of word patterns and excludes the grammatical factors as much as possible. In proposed method, we express a document into a bag of words and then apply a learning algorithm using a frequency of word patterns, and finally decide the polarity of the document using a score function. Additionally, we also present the experiment results for evaluating the accuracy of the proposed method.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.91-100
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• 2013

In recent years, online brand communities, whereby firms and customers interact freely, are emerging trend, because customers' opinions collected in these communities can help firms to achieve their innovation effectively. In this study, we examined whether customer opinions containing negative emotions have influence on their adoption for organizational innovation. To that end, we firstly classified negative emotions into five categories of detailed negative emotions such as Fear, Anger, Shame, Sadness, and Frustration. Then, we developed a lexicon for each category of negative emotions, using WordNet and SentiWordNet. From 81,543 customer opinions collected from MyStarbucksIdea.com which is Starbucks' brand community, we extracted terms that belong to each lexicon. We conducted an experiment to examine whether the existence, frequency and strength of terms with negative emotions in each category affect the adoption of customer opinions for organizational innovation. In the experiment, we statistically verified that there is a positive relationship between customer ideas containing negative emotions and their adoption for innovation. Especially, Frustration and Sadness out of the five emotions are significantly influential to organizational innovation.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.6
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• pp.871-879
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• 2010

In this paper, we present a system that classifies comments on a news article into a user opinion called a polarity (positive or negative). The system is a kind of document classification system for comments and is based on machine learning techniques like support vector machine. Unlike normal documents, comments have their body that can influence classifying their opinions as polarities. In this paper, we propose a feature weighting scheme using such characteristics of comments and several resources for opinion classification. Through our experiments, the weighting scheme have turned out to be useful for opinion classification in comments on Korean news articles. Also Korean character n-grams (bigram or trigram) have been revealed to be helpful for opinion classification in comments including lots of Internet words or typos. In the future, we will apply this scheme to opinion analysis of comments of product reviews as well as news articles.