• 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 Intelligence and Information Systems
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• v.24 no.4
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• pp.67-83
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• 2018

The Korean film industry with significant increase every year exceeded the number of cumulative audiences of 200 million people in 2013 finally. However, starting from 2015 the Korean film industry entered a period of low growth and experienced a negative growth after all in 2016. To overcome such difficulty, stakeholders like production company, distribution company, multiplex have attempted to maximize the market returns using strategies of predicting change of market and of responding to such market change immediately. Since a film is classified as one of experiential products, it is not easy to predict a box office record and the initial number of audiences before the film is released. And also, the number of audiences fluctuates with a variety of factors after the film is released. So, the production company and distribution company try to be guaranteed the number of screens at the opining time of a newly released by multiplex chains. However, the multiplex chains tend to open the screening schedule during only a week and then determine the number of screening of the forthcoming week based on the box office record and the evaluation of audiences. Many previous researches have conducted to deal with the prediction of box office records of films. In the early stage, the researches attempted to identify factors affecting the box office record. And nowadays, many studies have tried to apply various analytic techniques to the factors identified previously in order to improve the accuracy of prediction and to explain the effect of each factor instead of identifying new factors affecting the box office record. However, most of previous researches have limitations in that they used the total number of audiences from the opening to the end as a target variable, and this makes it difficult to predict and respond to the demand of market which changes dynamically. Therefore, the purpose of this study is to predict the weekly number of audiences of a newly released film so that the stakeholder can flexibly and elastically respond to the change of the number of audiences in the film. To that end, we considered the factors used in the previous studies affecting box office and developed new factors not used in previous studies such as the order of opening of movies, dynamics of sales. Along with the comprehensive factors, we used the machine learning method such as Random Forest, Multi Layer Perception, Support Vector Machine, and Naive Bays, to predict the number of cumulative visitors from the first week after a film release to the third week. At the point of the first and the second week, we predicted the cumulative number of visitors of the forthcoming week for a released film. And at the point of the third week, we predict the total number of visitors of the film. In addition, we predicted the total number of cumulative visitors also at the point of the both first week and second week using the same factors. As a result, we found the accuracy of predicting the number of visitors at the forthcoming week was higher than that of predicting the total number of them in all of three weeks, and also the accuracy of the Random Forest was the highest among the machine learning methods we used. This study has implications in that this study 1) considered various factors comprehensively which affect the box office record and merely addressed by other previous researches such as the weekly rating of audiences after release, the weekly rank of the film after release, and the weekly sales share after release, and 2) tried to predict and respond to the demand of market which changes dynamically by suggesting models which predicts the weekly number of audiences of newly released films so that the stakeholders can flexibly and elastically respond to the change of the number of audiences in the film.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.496-499
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• 2019

The study aims to collect detailed movie information from box office of the Korea Film Council and data on Naver's movie ratings to analyze important factors affecting the movie's popularity based on movie audiences and ratings.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.367-375
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• 2018

The study aims to determine which groups leave longer(more active) online reviews(comments) on the film by separating groups, one that satisfied with the movie while the other group dissatisfied with the movie. The data used were rating scores and reviews(comments) from Naver Movie API, and break-even point data provided by Korea Film Commission. We analyzed the relationship between movie rating and review length, before and after movie opening, the characteristics of review length according to the box office, and whether the movie rating affects the review length.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.316-318
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• 2021

영화 수익에 있어 영화의 흥행 여부는 중요한 영향을 끼친다. 영화 흥행 요인은 영화 산업의 규모가 커지면서 많은 제작사들 및 투자자들이 고려해야 하는 사항이 되었다. 따라서 영화의 흥행을 예측하기 위한 많은 모델이 연구되었다. 본 연구의 목적은 선행연구에서 흥행에 유의미한 영향을 끼친다고 밝혀진 스크린 수, 감독명, 제작사명 등의 내재적인 속성과 더불어 온라인 구전 변수를 사용하여 영화 흥행 예측 모델을 만드는 것이다. 이때 기사 수, 블로그 수와 같이 온라인 구전의 크기를 나타내는 변수들을 사용하는 대신 개봉 후 첫 주간의 관람객 리뷰를 텍스트마이닝을 이용하여 전체 리뷰 중 긍정 리뷰의 비율에 따라 점수를 매긴 후 독립변수로 사용한다. 그 후, 데이터 마이닝 기법을 활용하여 만든 모델에 앞서 언급한 독립변수를 입력 값으로 사용하여 영화의 흥행을 예측한다. 최종적으로 의사결정트리와 로지스틱회귀를 수행한 결과 영화 흥행에 영향을 주는 독립변수를 찾고 모델의 성능을 평가하였다. 로지스틱회귀의 결과 관객 수, 평점이 영화의 흥행에 특히 유의한 영향을 끼치는 변수로 선정되었고 리뷰 역시 유의한 변수로 선정되었다. 이때 만들어진 모델은 약 90%의 높은 수준의 정확도를 보여주었다. 의사결정트리의 결과 관객 수가 가장 중요한 변수로 선정되었다.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.199-200
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• 2018

오늘날 미술관에서 멀티스크린 기반의 영상설치 작품을 접하는 것은 어려운 일이 아니다. 이와 관련해 갤러리 영화, 전시의 영화, 다른 영화 등과 같은 용어와 담론들이 있다. 본고에서는 최근 많이 사용되는 '아티스트 시네마'라는 용어를 사용 한다. '아티스트 시네마'를 영화이론(Film Theory)과 미술사(Art History)의 맥락이 교차하는 지점에 두고, '아티스트 시네마'가 경유하는 영화적 요소들과 현대 미술적 요소들을 엘리자-리사 아틸라의 <상담 서비스>(1999)를 통해 분석한다. 분석의 단계는 첫째, 내러티브를 구성하는 '프레임 안의 내용', 둘째, 영상 설치 작품을 구성하는 오브제와 작품이 놓인 미술관이라는 '프레임 밖의 맥락', 셋째, 관람자의 시간적, 공간적 경험이다. 이를 통해 '아티스트 시네마'와 미술관이라는 시스템이 가지는 비평의 지점에 관해 생각해 보고자 한다.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.139-140
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• 2012

소비자들의 니즈가 다양해짐에 따라 쇼핑뿐만 아니라 외식, 공연, 영화관람, 놀이 등 여가도 함께 즐길 수 있는 몰링형 복합 소비공간에 대한 요구가 급증하고 있다. 다양한 쇼핑문화생활공간으로서 몰링형 복합 소비 공간이 확산되어짐에 따라서 공간구성의 비중은 이용자의 입장에서 더욱 중요하게 고려되어져야 한다. 따라서 본 연구는 몰링형 복합소비공간의 사례분석을 통하여 공간구성 비율과 특성을 비교분석하고자 한다.

• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.108-115
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• 2013

This study focused on whether the existence and type of originals have any effects on box-office performance of the movie. Cultural products have characteristics of experience goods of which consumers hardly know the value of the products before they actually experience the products. To reduce the uncertainty, movie producers may want to use existing contents already made for other type of cultural products, which is generally called of One Source Multi Use. Using 381 Korean box-office data during January 2010 and September 2012, this study found that, first, the existence of original affects positively the movie's box office performance, second, the fiction based original has a positive effect on the movie's box office performance while cartoon and movie/TV based originals do not, and third, the movie type(commercial movie) positively moderates the relationship between fiction based original and movie performance. This study showed that box-office performance is not only affected by the characteristics of the movie itself, but also affected by other conditions including the use of existing originals created for other purposes.

• 건강소식
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• v.36 no.11
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• pp.38-39
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• 2012

2011년 여성가족부가 선정한 기족친화우수기업 롯데시네마. 10월 11일 방문한 롯데시네마 김포공항관은 친환경적 시설과 최첨단 장비로 쾌적한 관람 환경을 구현했을 뿐만 아니라 한국건강관리협회 서울강남지부와 협력관계를 맺고 직원들의 복리후생 향상과 건강증진을 위해 노력하고 있었다.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.777-780
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• 2010

최근 박물관은 과거의 경직된 전시의 기능에서 벗어나 좀 더 관람자에게 다가가는 전시를 지향하고 있다. 이러한 경향은 전시를 점차 엔터테인먼트로서 기능하게 하는 한 요인이며, 영화와 텔레비전 같은 타 매체와 경쟁하면서 그러한 기능은 더욱 강화되는 실정이다. 본 연구에서는 이라한 경향의 원인을 구체적으로 고찰하며 이러한 기능의 의미를 분석하고자 한다.