Prediction of a Movie's Success From Plot Summaries Using Deep Learning Models
As the size of investment for movie production grows bigger, the need for predicting a movie{'}s success in early stages has increased. To address this need, various approaches have been proposed, mostly relying on movie reviews, trailer movie clips, and SNS postings. However, all of these are available only after a movie is produced and released. To enable a more earlier prediction of a movie{'}s performance, we propose a deep-learning based approach to predict the success of a movie using only its plot summary text. This paper reports the results evaluating the efficacy of the proposed method and concludes with discussions and future work.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Predicting Movie Genres Based on Plot Summaries
This project explores several Machine Learning methods to predict movie genres based on plot summaries. Naive Bayes, Word2Vec+XGBoost and Recurrent Neural Networks are used for text classification, while K-binary transfo…
BIG-bench Machine LearningClassificationGeneral Classificationtext-classification+1Where Have I Heard This Story Before? Identifying Narrative Similarity in Movie Remakes
People can identify correspondences between narratives in everyday life. For example, an analogy with the Cinderella story may be made in describing the unexpected success of an underdog in seemingly different stories. W…
Information RetrievalRetrievalAligNarr: Aligning Narratives on Movies
High-quality alignment between movie scripts and plot summaries is an asset for learning to summarize stories and to generate dialogues. The alignment task is challenging as scripts and summaries substantially differ in …
global-optimizationA Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews
The flexibility of the inference process in Variational Autoencoders (VAEs) has recently led to revising traditional probabilistic topic models giving rise to Neural Topic Models (NTMs). Although these approaches have ac…
DisentanglementSentiment AnalysisSentiment ClassificationTopic ModelsScreenWriter: Automatic Screenplay Generation and Movie Summarisation
The proliferation of creative video content has driven demand for textual descriptions or summaries that allow users to recall key plot points or get an overview without watching. The volume of movie content and speed of…