@inproceedings{kim-etal-2019-prediction,
title = "Prediction of a Movie{'}s Success From Plot Summaries Using Deep Learning Models",
author = "Kim, You Jin and
Cheong, Yun Gyung and
Lee, Jung Hoon",
editor = "Ferraro, Francis and
Huang, Ting-Hao {`}Kenneth{'} and
Lukin, Stephanie M. and
Mitchell, Margaret",
booktitle = "Proceedings of the Second Workshop on Storytelling",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W19-3414",
doi = "10.18653/v1/W19-3414",
pages = "127--135",
abstract = "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.",
}
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<abstract>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.</abstract>
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%0 Conference Proceedings
%T Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models
%A Kim, You Jin
%A Cheong, Yun Gyung
%A Lee, Jung Hoon
%Y Ferraro, Francis
%Y Huang, Ting-Hao ‘Kenneth’
%Y Lukin, Stephanie M.
%Y Mitchell, Margaret
%S Proceedings of the Second Workshop on Storytelling
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F kim-etal-2019-prediction
%X 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.
%R 10.18653/v1/W19-3414
%U https://aclanthology.org/W19-3414
%U https://doi.org/10.18653/v1/W19-3414
%P 127-135
Markdown (Informal)
[Prediction of a Movie’s Success From Plot Summaries Using Deep Learning Models](https://aclanthology.org/W19-3414) (Kim et al., Story-NLP 2019)
ACL