연구동향 분석

초기 시청자 반응과 드라마 평균 시청률 사이의 관계: 토픽 모델링 측면에서

배기웅 김혜진 2019년

논문상세정보
인용/피인용
' 초기 시청자 반응과 드라마 평균 시청률 사이의 관계: 토픽 모델링 측면에서' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • lda
  • online reviews
  • topic modeling
  • tvratings
  • 온라인 리뷰
  • 잠재 디리클레 할당
  • 텔레비전 평균 시청률
  • 토픽 모델링
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
1,697 0

0.0%

' 초기 시청자 반응과 드라마 평균 시청률 사이의 관계: 토픽 모델링 측면에서' 의 참고문헌

  • 텔레비전 프로그램 시청률 예측 가능성 연구. <방송광고연구총서>
    이혜갑 [1994]
  • 데이터 마이닝을 통한 지상파 드라마 첫 회 시청률 예측 모형 연구
    최현종 [2017]
  • 다매체 환경에서의 TV 광고 노출 효과 변화 2000년부터 2015년까지의 기간을 중심으로
    조정식 [2017]
  • 국내 드라마 시청률 예측 및 영향요인 분석
    강수연 [2015]
  • [방송영상산업백서] 케이블 드라마, 지상파에 여전히 역부족
  • Word of mouth for movies : Its dynamics and impact on box office revenue
    Liu, Y. [2006]
  • Using online conversations to study word-of-mouth communication
    Godes, D. [2004]
  • Using a nested logit model to forecast television ratings
    Danaher, P. [2012]
  • Understanding online hotel reviews through automated text analysis
    Mankad, S. [2016]
  • Tweeting as a marketing tool: A field experiment in the TV industry
    Gong, S. [2017]
  • Topic Models
    Blei, D. M. [2009]
  • The unpredictable audience: An exploratory analysis of forecasting error for new prime-time network television programs
  • The impact of online recommendations and consumer feedback on sales
    Chen, P. Y. [2004]
  • The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets
  • The effect of calorie posting regulation on consumer opinion: A flexible latent Dirichlet allocation model with informative priors
    Puranam, D. [2017]
  • The differential effects of the quality and quantity of online reviews on hotel room sales
    Blal, I. [2014]
  • The Effect of Word of Mouth on Sales : Online Book Reviews
  • TV드라마 시청률에 영향을 미치는 요인내용변인을 중심으로
    이화진 [2007]
  • Sparse stochastic inference for latent Dirichlet allocation
  • Sentence-based text analysis for customer reviews
  • Self-selection and information role of online product reviews
    Li, X. [2008]
  • Ratings analysis: The Theory and Practice of Audience research
    Webster, J. [2000]
  • Program types defined by factor-analysis
  • Optimal television schedules in alternative competitive environments
  • Modelling television viewing patterns
  • Model-based purchase predictions for large assortments
  • Mining marketing meaning from online chatter: Strategic brand analysis of big data using latent Dirichlet allocation
  • Mine Your Own Business: Market-Structure Surveillance Through Text Mining
    Netzer, O. [2012]
  • Mapping the public agenda with topic modeling: The case of the Russian livejournal
  • Latent Dirichlet Allocation
    Blei, D. M. [2003]
  • KoNLPy: 쉽고 간결한 한국어 정보처리 파이썬 패키지
    박은정 [2014]
  • Foundations of statistical natural language processing
  • Finding scientific topics
  • FORTV: decision support system for forecasting television viewership
    Patelis, A. [2003]
  • Estimating the interdependence of television program viewership between spouses: A Bayesian simultaneous equation model
    Yang, S. [2006]
  • Estimating aggregate consumer preferences from online product reviews
    Decker, R. [2010]
  • Determinants of TV viewing
  • Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content
    Ghose, A. [2012]
  • Characterizing microblogs with topic models
    Ramage, D. [2010]
  • Cast demographics, unobserved segments, and heterogeneous switching costs in a television viewing choice model
    Shachar, R. [2000]
  • Automated marketing research using online customer reviews
    Lee, T. Y. [2011]
  • An analysis of prediction error for new primetime television programmes: a comparative study between the USA and Korea
    Yoo, C. Y. [2002]
  • A structured analysis of unstructured big data by leveraging cloud computing
    Liu, X. [2016]
  • 11번가 따라잡은 네이버쇼핑, 온라인유통 ‘태풍의 눈’