• Journal of Fashion Business
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• v.12 no.1
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• pp.16-29
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• 2008

The purpose of this essay is to know the expressed form and color and also to examine the inner symbolic meaning of the movie "Sympathy for Lady Vengeance" by producer Chan-Wook Park. In the movie, the main character Geumja has double personality, having both images of a wicked woman and a woman saint, and she showed the clothing of both good and evil. For example, while she was in prison, her prisoner uniform while she was taking care of her inmates, her pajama which is the symbol of innocence when she was atoning and praying, Geumja's appearance wasn't fabulous when she was wearing baker's cloth that symbolize pure inside. But in contrast, Geumja who was released from prison planned and execute vengeance, dress colorful dress and primary color make-ups. Blue color coat with gloomy mood, black leather coat with the image of female warrior, and the slip with intensive image and etc express Geumja's will of revenge. Like this, depend on the psychology of main character Geumja, it's easy to recognize the change of clothing and color, and it's possible to understand the symbolic meaning in it.

• Journal of Fashion Business
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• v.12 no.5
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• pp.126-140
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• 2008

This thesis aims to examine the symbolism of color in the clothing of women, focusing on the protagonist of the movie Elizabeth: The Golden Age (2007). At the beginning of the movie, the Queen wears gowns with cartwheel ruff and wheel farthingales, symbolizing the attempt of establishing a powerful majesty. However, the Queen falls in love with Walter Raleigh and her clothing comes to emphasize femininity displaying her cleavage. Later on, her clothing indicates charismatic authority as she prepares for the Spanish war. At the end of the movie, the Queen who led the the country to victory in war puts on a luxurious gown with butterfly wings that reminds of a fairy queen. The colors of the Queen's clothing are categorized into three groups. First, the color red represents two opposite allegories. The positive image of red denotes Christ's blood, the love of God, and noble status of the Queen's image as a savior of England. On the other hand, red represents lewdness and evil which insinuate that the Queen is being attacked on her religious and political genuineness. Second, the color blue represents Saint Maria, chastity, and divinity. Third, the color goldw and white represent the Queen's ideals which are chastity as a virgin Queen and divinity.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.302-306
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• 2006

According to increasing spare time by executing a five-day work and concern to multiplex by developing Korean movie industry, it is required an expedient that can not only strengthen the competitiveness but also serve higher level service to custom. thus, this study will provide ways of improving service quality by analyzing the effect of service quality of multiplex on customer satisfaction and re-visit intention.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.386-388
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• 2003

We are developing a web-based movie recommender system that catches and reasons with user profiles and ratings to recommend movies. In the paper, we outline the current status of our implementation with particular emphasis on the mechanisms used to provide effective recommendations. Social recommender systems collect ratings of items from many individuals and use nearest-neighbor techniques to make recommendations to a user. However, these methods only depend on the ratings and ignore other useful information. Our primary concern is to provide an approach that can recommend the movies based on not only the user ratings but also the significant amount of other information that is available about the nature of each items - such as cast list or movie genre. We experimentally evaluate our approach and compare them to conventional social filtering, which suggests merits to our approach.

• Proceedings of the Korean Society for Language and Information Conference
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• 2007.11a
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• pp.481-488
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• 2007

In this paper, we propose a method to classify movie review documents into positive or negative opinions. There are several approaches to classify documents. The previous studies, however, used only a single classifier for the classification task. We describe a multiple classifier for the review document classification task. The method consists of three classifiers based on SVMs, ME and score calculation. We apply two voting methods and SVMs to the integration process of single classifiers. The integrated methods improved the accuracy as compared with the three single classifiers. The experimental results show the effectiveness of our method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3169-3181
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• 2015

Nowadays, online word-of-mouth has become a powerful influencer to marketing and sales in business. Opinion mining and sentiment analysis is frequently adopted at market research and business analytics field for analyzing word-of-mouth content. However, there still remain several challengeable areas for 1) sentiment analysis aiming for Korean word-of-mouth content in film market, 2) availability of machine learning models only using linguistic features, 3) effect of the size of the feature set. This study took a sample of 10,000 movie reviews which had posted extremely negative/positive rating in a movie portal site, and conducted sentiment analysis with four machine learning algorithms: naïve Bayesian, decision tree, neural network, and support vector machines. We found neural network and support vector machine produced better accuracy than naïve Bayesian and decision tree on every size of the feature set. Besides, the performance of them was boosting with increasing of the feature set size.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.624-629
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• 2011

In this paper, a new kernelized approach for use in a recommender system (RS) is proposed. Using a machine learning technique, the proposed method predicts the user's preferences for unknown items and recommends items which are likely to be preferred by the user. Since the ratings of the users are generally inconsistent and noisy, a robust binary classifier called a dual margin Lagrangian support vector machine (DMLSVM) is employed to suppress the noise. The proposed method is applied to MovieLens databases, and its effectiveness is demonstrated via simulations.

• Journal of Fashion Business
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• v.11 no.3
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• pp.124-132
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• 2007

This study aims at inquiring into the image and characteristics of suitable hair style by occupation between movie actresses, TV talents, fashion models, singers and MCs who undergo the biggest influence on the management of international image and the inclination of appearance. For this, it made a survey of the image and characteristics on 177 women in their twenties to thirties living in Seoul city, providing photos of entertainers' six hair styles by image. The results of this study were as follows: First, it showed that movie stars or TV talents shone into one work of movie or TV become accustomed to natural, casual and romantic image. Second, it showed that singers or fashion models become accustomed to ethnic and unique style, as they follow an occupation that adjusts to their concept to show their clothes.

• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.152-161
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• 2011

This study examines characteristics of sports movies between Korea and the U.S. Especially, this paper focuses on three different characteristics including structural, internal characteristics and performance of sports movies. The major results are as follows: firstly, there were similarities between two countries in terms of opening year, genre, classification but movie subjects. More specifically, movie opening years were not related to global sports events. In addition, most sports movies were mainly produced by human genre and all age movie classification. However, in terms of sports subjects, although Korean movies were constructed by baseball game, the U.S. movies were based on football game. Secondly, there were also similarities between both sports movies in terms of external characteristics such as gender difference of hero or heroine, internal story structure and their story sources. Most of sports movies have used real stories as movie story. Finally, although many of the U.S. sports movies recorded the high degree of expenditures, three movies recorded the high degree of movie consumption.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.62-69
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• 2015

This study examined the effects of the level of narrativity of a culture content on the level of preference of a related culture content. The culture contents were categorized into novels, cartoons and TV programs according to the content type, and into dramas, comedies, and actions by the contents genre because previous studies found a high level of narrativity in novels and dramas. Based on the survey data on the movie preference, the following were found. First, when people prefer novels with high-level narrativity, rather than TV programs, which have low-level narrativity in a certain genre, they prefer watching movies in the same genre. Second, this relationship is even more reinforced when the genre of the original of the movie is drama, which has high-level narrativity, rather than comedies or actions, which have low-level narrativity. Narrativity plays an important role in the movie preference, especially when it comes to movie originals.