• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.205-206
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• 2017

Casual games are often have simple rule and easy to play. Like Angry birds, players can sling a bird as a bomb to destroy target. But the film adaption encounters numerous questions. games in pursuit of strong sensed presence, pay attention to experience; film stress the integrity of the story, attaches great importance to plot. However, casual games don't have story and plot. This paper take angry birds as example, analyzes the difficulties and method of adaptation from leisure mobile games to films, summarizes the key successful elements of adaption, such as subdivided the target group, chose an appropriate genre, write a script follow the basic logic and frame of film, set contradiction, complicated the character and still contain key elements of the game, in order to provide new ideas in the future development of integration of game and movie industry.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.657-678
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• 2016

This study deals with the effect of online word-of-mouth (OWOM) variables on the box office. From the result of statistical analysis on 276 films with audiences of more than five hundred thousand released in the Korea from 2012 to 2015, it can be seen that the variables showing the size of OWOM (such as the number of the portal movie rater, blog, and news after release) are associated more with the box office than the portal movie rating showing the direction of OWOM as well as variables showing the inherent properties of the film such as grade, nationality, release month, release season, directors, actors, and distributors.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.31-37
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• 2022

Research on what factors affect the success of the movie market is very important for reducing risks in related industries and developing the movie industry. In this study, in order to find out the degree of correlation of independent variables that affect movie performance, a survey was conducted on film experts using the AHP method and the importance of each measurement factor was evaluated. In addition, we hypothesized that factors derived from big data related to search portals and SNS will affect the success of movies due to the increase in the spread and use of smart phones. And a prediction model that reflects both the expert survey information and big data mentioned above was proposed. In order to check the accuracy of the prediction of the proposed model, it was confirmed that it was improved (10.5%) compared to the existing model as a result of verification with real data.Therefore, it is judged that the proposed model will be helpful in decision-making of film production companies and distributors.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.131-138
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• 2019

In general, film acting refers to American method or Hollywood method. Hollywood method is a term to denominate collectively actors from Group Theatre of Lee Strasberg which accepted Russian Stanislavski's system as American acting. We can find out the origins of Korean acting in the attitude of actors who imitate Hollywood. Hollywood method, which seem to be more systematic and rational in the previous Sin-pa, has begun to be accepted in the fields of actors, directors, critics, and educators. The perception of Hollywood method in Korea is part of the search for the identity of Korean film acting. This article approaches from the perspective of four fields. First, it is Korean actors' perceptions about Hollywood methods. Second, I examine the attitude of the direction of staff and technical aesthetics regarding Hollywood method. Third, it is evaluation aspect in criticism area. Fourth, it is an aspect of education.

• Cartoon and Animation Studies
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• s.16
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• pp.257-272
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• 2009

I analysis Alfonso Cuaron's comparing it with Charles Dickens' the original novel and David Lean's . In order to evaluate film which is based on classic novel, formal difference between film and novel, people's preference in those days and director's interpretations should be considered besides how the film follow the original novel faithfully. Regarding to these valuation basis, David Lean's film is true to the original novel and same time successful to add director's interpretation by using Mise en secne in it. Alfonso Cuaron is also succeed in filming well-made, people-like work by modifying the original novel with the convention of melo-drama genre and by using modern film form without breaking Hollywood classic film grammar.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.1-13
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• 2019

This study examines the impact of factors that affect Hollywood movies' box office performance, using a sample of 149 movies that were ranked number 1 on the first week of release between 2014 and 2018. Such factors as production budget, the number of opening screens, the valence and volume of both critics and netizens, rating, distributor's power, remake, high season, genre are introduced to analyze box office performance. The result shows that the determinants of the US box office and the total box office are different. Considering the difference in budget by genre, the number of opening screens is not influential in the US box office performance of all genres with production budget of less than $100 million. The result suggests the need to refine more elaborated models for future research on box office performance.

• Cartoon and Animation Studies
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• s.29
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• pp.209-241
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• 2012

Is a failed blockbuster film? Is there no room for reconsideration of the value of the film in terms of its contents and forms? The purpose of this study is to answer these questions. In 2007, SHIM Hyung-rae's was in the limelight due to the nationalist discourse around the film rather than evaluation of the film itself. In terms of its narrative and formal properties, the film showed the difference from the Korean nationalist blockbuster films. It led to the disaccord and hard-to-understand results of having somewhat disappointed box-office success of 8,500,000 audiences in comparison to the input, of receiving well by a generous part of the audiences absorbed by nationalism, and of getting the critics' cynic criticism of the film's cinematic value. Eventually only provided the cultural battlefield of nationalism, was left as an unnoticed film in the realm of industry and criticism. However, it was interesting that there was a common ground between the film's supporters and the cynic critics. Both sides were being acknowledged that the spectacle of was way out of proportion to the degree that the spectacle was unbalanced with the story unfolding, achieved more than expected. Its spectacle overwhelming the narrative enfever a few audiences, and at the same time, it provided some reasons making critics face away from the film. In this context, the purpose of this study is to examine 's aesthetics that 'the spectacle dominating narrative' or 'the narrative as a pretext for showing spectacle,' leading to discussion of artistic/theoretical/critical value and to find out cinematic value of the film being regarded as a failure. In addition, this study is significant in that it suggests that is a new kind of moving image that it cannot be analyzed with existed critical methods of narrative film criticism; as a result, this study provides the chance to be evaluated through a new conceptual frame of the film. In order to grasp the narratological aesthetics, this study focuses on the concept of trickality that Andre Gaudreault suggests, and Tom Gunning's 'the cinema of attractions,' referring to the spectacle-oriented narrativity or the mode of production displaying the spectacle more than the narrative.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.216-219
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• 2011

인터넷 기술이 빠르게 발전하고 변화하여 현재는 많은 수의 컨텐츠와 프로그램 채널이 IP 네트워크를 통해 제공되면서 컨텐츠 서비스 사업자들은 좀 더 향상된 추천시스템이 필요하게 되었다. 그리고 사용자 참여중심의 인터넷 환경인 Web 2.0 시대가 도래하면서 사용자가 직접 생성한 정보들을 활용하는 다양한 연구가 진행되고 있다. 본 논문에서는 타겟 아이템에 대해 인터넷 상에 수많은 사용자들이 생성한 정보들을 ConceptNet을 활용하여 감정벡터를 추출하고 장르별로 분류하는 방법을 결합한 새로운 형태의 영화 추천시스템을 제안한다. 공개용 영화 데이터인 MovieLens 데이터 셋을 이용하여 실험하였고 성능평가는 RMSE 방법과 다양한 추천평가방법으로 기존 협업 필터링 추천시스템과 비교하였으며 실험 결과 기존방식보다 향상된 성능을 보였다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06c
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• pp.51-53
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• 2012

데이터 마이닝의 문서분류 기술에서 발전된 오피니언 마이닝은 이제 국외뿐만 아니라 국내의 학계 및 기업에서 중요한 관심분야로 자리잡아가고 있다. 오피니언 마이닝의 핵심은 문서에서 감정 단어를 추출하여 긍정/부정 여부를 얼마나 정확하게 자동적으로 판별하느냐를 평가하는 것이다. 국내에서도 이에 관련된 많은 연구가 이루어 졌으나 아직 실용적으로 적용할 만큼의 정확한 분류 정확도 보이지 않고 있다. 그 이유는 한국어의 경우 비문법적 표현, 감정단어의 다양성 등으로 인해 문서의 극성을 판별하기가 쉽지 않기 때문이다. 본 논문에서는 문법적 요소를 최대한 배제하고 단어 패턴의 빈도만을 고려한 영화평 분류기법을 제안한다. 제안된 방법에서는 문서를 단어들의 리스트로 추상화하여 패턴들의 빈도로 학습한 후 적절한 스코어 함수를 적용하여 문서의 극성을 판별한다. 또한 실험을 통해 제안된 기법의 정확도를 평가한다.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.563-568
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• 2020

본 연구에서는 블랙박스로 알려진 딥러닝 모델에 설명 근거를 제공할 수 있는 설명자 모델을 적용해 보았다. 영화평 감성 분석을 위해 MLP, CNN으로 구성된 딥러닝 모델과 결정트리의 앙상블인 Gradient Boosting 모델을 이용하여 감성 분류기를 구축하였다. 설명자 모델로는 기울기(gradient)을 기반으로 하는 IG와 레이어 사이의 가중치(weight)을 기반으로 하는 CAM, 그리고 설명가능한 대리 모델을 이용하는 LIME과 입력 속성에 대한 선형모델을 추정하는 SHAP을 사용하였다. 설명자 모델의 특성을 보기 위하여 히트맵과 관련성 높은 N개의 속성을 추출해 보았다. 설명자가 제공하는 기여도에 따라 입력 속성을 제거해 가며 분류기 성능 변화를 측정하는 정량적 평가도 수행하였다. 또한, 사람의 판단 근거와의 일치도를 살펴볼 수 있는 '설명 근거 정확도'라는 새로운 평가 방법을 제안하여 적용해 보았다.