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Analysis of Success and Failure Factors of OTT Service Contents According to the Rating: Focus on Netflix KCI 등재
평점에 따른 OTT 서비스 콘텐츠의 성공과 실패 요인 분석: 넷플릭스를 중심으로
- 언어KOR
- URLhttps://db.koreascholar.com/Article/Detail/411688
pp.65-75
This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.
2. 이론적 배경
2.1 평점
2.2 관람등급
2.3 방영 연도
2.4 러닝타임
2.5 감독 수상개수
2.6 넷플릭스 심의규정
3. 방법론
3.1 데이터 수집 및 전처리
3.2 독립변수들 간 다중공선성 확인
3.3 Cook’s distance를 이용한 이상치 검출
3.4 회귀분석을 이용한 상관성 분석
3.5 변수선택법
3.6 잔차 진단 및 독립성 검정
4. 실험
4.1 데이터 수집 및 전처리
4.2 다중공선성 확인
4.3 Cook’s distance를 이용한 이상치 검출
4.4 회귀분석
4.5 변수선택법
4.6 잔차진단 및 독립성 검정
5. 결론 및 향후 연구
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