• Journal of Information Technology Services
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• v.16 no.3
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• pp.167-183
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• 2017

The rapid growth of information technology and mobile service platforms, i.e., internet, google, and facebook, etc. has led the abundance of data. Due to this environment, the world is now facing a revolution in the process that data is searched, collected, stored, and shared. Abundance of data gives us several opportunities to knowledge discovery and data mining techniques. In recent years, data mining methods as a solution to discovery and extraction of available knowledge in database has been more popular in e-commerce service fields such as, in particular, movie recommendation. However, most of the classification approaches for predicting the movie popularity have used only several types of information of the movie such as actor, director, rating score, language and countries etc. In this study, we propose a classification-based support vector machine (SVM) model for predicting the movie popularity based on movie's genre data and social network data. Social network analysis (SNA) is used for improving the classification accuracy. This study builds the movies' network (one mode network) based on initial data which is a two mode network as user-to-movie network. For the proposed method we computed degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality as centrality measures in movie's network. Those four centrality values and movies' genre data were used to classify the movie popularity in this study. The logistic regression, neural network, $na{\ddot{i}}ve$ Bayes classifier, and decision tree as benchmarking models for movie popularity classification were also used for comparison with the performance of our proposed model. To assess the classifier's performance accuracy this study used MovieLens data as an open database. Our empirical results indicate that our proposed model with movie's genre and centrality data has by approximately 0% higher accuracy than other classification models with only movie's genre data. The implications of our results show that our proposed model can be used for improving movie popularity classification accuracy.

• Journal of Korean language education
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• v.28 no.3
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• pp.53-83
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• 2017

The goal of this study is to examine whether the genre characteristics of newspaper articles are appropriately reflected in Korean language textbooks. For the purpose of this study, two corpora were built with 17 textbook articles and 60 newspaper articles respectively. The average sentence length and frequency of vocabulary in each corpus were measured. It was found that the sentences of articles in textbooks tended to have longer sentence length and more complicated structures than the articles in newspapers. For instance, sentences in the textbook articles had more verbal endings, such as conjunctive and transforming endings. On the other hand, in case of vocabulary representing 'timeliness', there was a high frequency of adverbs and nouns which were related to year, month, and time in actual articles, while it is found to be very limited in textbooks. Also, typical translative styles such as '-ko itta', '-e ttareumyun' were more prominent in textbooks than in newspaper articles. In the case of abbreviated and omitted form of particles, this was a characteristic that appeared only in actual articles because of the constraint of space. It is significant that this paper offers suggestions for the development of reading materials for Korean language education by revealing that the genre typology of actual newspaper articles is not adequately reflected in current textbooks.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.4
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• pp.75-85
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• 2011

Effective and Economic game evaluation before game publishing is very important for game development company. In this paper, we designed and developed an effective web based game evaluation system according to three major game genre including MMORPG, FPS, and web game. The proposed evaluation model consists of five evaluation items such as game interest, competitiveness, technology, earning power, and market value and has common evaluation items and independent ones according to game genre. To reflect characteristics of each game genre, we divided evaluation items into common evaluation elements and individual ones according to game genre. We applied the proposed system to two real games of a game development company and showed the result.

• Journal of Broadcast Engineering
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• v.25 no.6
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• pp.861-869
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• 2020

We introduce the application that automatically makes several images stored in user's device into one video by using the different climax patterns appearing for each film genre. For the classification of the genre characteristics of movies, a climax pattern model style was created by analyzing the genre of domestic movie drama, action, horror and foreign movie drama, action, and horror. The climax pattern was characterized by the change in shot size, the length of the shot, and the frequency of insert use in a specific scene part of the movie, and the result was visualized. The model visualized by genre developed as a template using Firebase DB. Images stored in the user's device were selected and matched with the climax pattern model developed as a template for each genre. Although it is a short video, it is a feature of the proposed application that it can create an emotional story video that reflects the characteristics of the genre. Recently, platform operators such as YouTube and Naver are upgrading applications that automatically generate video using a picture or video taken by the user directly with a smartphone. However, applications that have genre characteristics like movies or include video-generation technology to show stories are still insufficient. It is predicted that the proposed automatic video editing has the potential to develop into a video editing application capable of transmitting emotions.

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.824-827
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• 2009

The purpose of this study was to demonstrate the changes in structure and contents of different functional genre of science writing during high school using the argumentation structure. For this thesis, seven students of a girls' high school in the national capital region took the argumentation structure instruction for 40 hours for a month. As a result, considerable changes had occurred amid the Explanation genre, the Experiment-recount genre and the Exposition genre. In the Explanation genre and the Experiment-recount genre, noticeable progress had been made in the usage of the argumentation elements and scientific concepts and knowledge evolved in a more rarified and detailed manner. In the Exposition genre, argumentation structure had changed from the simple argumentation structure to the subordination or the multiplex argumentation structure. Simultaneously, it was affirmed that the types and number of the argumentation elements increased significantly along with enlargement of respective scientific concepts and knowledge. Hence, this implies students can determine their understanding of scientific facts and contents during the progress of developing the argumentation structure. It is necessary that students take the well-organized argumentation structure instruction.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.202-212
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• 2010

The purpose of this study is at clarifying what the genre oriented characteristics of virtual reality programs are. For this, the tests of 'We Are Married' being broadcasted in 'Sunday, Sunday Night' Part 1 of MBC from episode 1 to 8. As a result of analysis, this program was mixing together virtuality and reality by placing the image of virtual couple's life and presentness of entertainers existing in reality appearing at the studio. Also, it was forming sympathy with users as it satisfies fantasy and sense of reality toward marriage by the entertainer couples showing love and conflict that may happen between real couples after setting various categories of couple types. Also, through the device for the public space to confess private feelings through television, it shows the boundary between public domain and private domain breaking up. Along with this, it has implemented amusement characteristics by inspiring enjoyment of users by a substituted satisfaction through various forms of impressions presented to spouse such as materials, effort, gesture or language, etc. Accordingly, the virtual reality program shows authenticity, fiction and amusement by being mixed together and we can see that such genre oriented characteristics act as important strategy appealing to users based on breakup of boundary and genre oriented ambiguity.

• Korean journal of communication and information
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• v.18
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• pp.63-97
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• 2002

Public debate is an essential communication process of our society and now it's carried out generally by television. The purpose of this study is to discuss on the potentialities and limits of TV debate as a public space. First, we examine the way of television's construction of public debate to discover the conventions of the genre. Second, examine its limitation and potentials as an public sphere. We analyse four TV debate programs during one month(June, 2001) using text analysis: format construction, nature of agenda, characteristics of panels and chairman, participation of audience, type of knowledge. The result shows that although numbers of programs are increased, many TV debates not differentiated each other in their format, panel, and contents, and merely reproduce genre conventions. Especially in policy debates, abstract agenda, male-dominated panel, limited participation of audience, and elitism and authoritative are prevailing. The genre's preconceived formulae and fixed convention restrict its own possibility of a participant and democratic public sphere. So, in order for TV debates to function as a open public sphere, to be flexible and re-examinate the proper frame for mass media public sphere.

• Cartoon and Animation Studies
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• s.23
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• pp.19-33
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• 2011

There are the various genres such as current affairs, romance, academy, Wuxia, sports, psychology, learning, living and horror in cartoons. Among them, the horror comics are based on the story full of real or realistic subject or exaggerated imagination. The horror comic by Ito Junji have gone through the various printings for the classes of readers since it was introduced in this country. This study has begun from necessity of research on the effect of the horror comics genre on the readers by analysis. among Ito Junji's horror comics makes its own cruel horror image by giving a very unrealistic situation to the usual structure of horror genre. The cruel horror comics rouse significance of the analysis of the genre as one genre of the comics. has the 'catastrophe' effect for the readers who want to enjoy and deny it at the same time by stubbornly describing aspect of 'cruelty' of the horror things. This study aims to research 'cruelty of portrayal' of in terms of human psychology.

• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.58-69
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• 2014

The purpose of this study was to examine stereotype of gender role in music video, comparing of gender image, sexuality(body exposure & sexual expression) by genre and gender difference. A content analysis of 300 songs and 517 characters was conducted between 2004 and 2013. Results were including followings. While women engaged in classic image, man engaged in naive image. R&B and Ballad demonstrated more classic image of women. Ballad, R&B, and Rock demonstrated more naive image of men than other genre. Sexuality was more prominent in dance and hip-hop genre. Compared to male character, female character was more sexually objectified, held to exposer herself and more likely to demonstrated sexually alluring behavior.

• Journal of KIISE:Software and Applications
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• v.35 no.11
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• pp.692-700
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• 2008

In some previous works on musical genre classification, human experts specify segments of a song for extracting musical features. Although this approach might contribute to performance enhancement, it requires manual intervention and thus can not be easily applied to new incoming songs. To extract musical features without the manual intervention, most of recent researches on music genre classification extract features from a pre-determined part of a song (for example, 30 seconds after initial 30 seconds), which may cause loss of accuracy. In this paper, in order to alleviate the accuracy problem, we propose a new method, which extracts features from representative segments (or main theme part) identified by structure analysis of music piece. The proposed method detects segments with repeated melody in a song and selects representative ones among them by considering their positions and energies. Experimental results show that the proposed method significantly improve the accuracy compared to the approach using a pre-determined part.