Abstract
With the rapid development of the movie industry, it is vital to evaluate and predict a movie’s quality. In this paper, a movie score prediction model is proposed based on the movie plots. Movie data was processed with the word2vec method, and the linear regression model and back propagation neural network algorithm were employed to establish the movie score prediction model. The high-quality classic movie plots of high-scoring movies summed up by big data contributed to a high synthesis of the wonderful content of the film. Experimental results show that it is effective in terms of movie evaluation and prediction, and helpful in understanding people’s preferences for movie plots.
H. Xie and H. Wang—These authors contributed equally to this work and should be considered co-first authors.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ginsburgh, V.A., Throsby, D.: Handbook on the Economics of Art and Culture, vol. 1, pp. 615–659. North-Holland, Amsterdam (2006)
Zheng, J., Zhou, S.B.: Modeling on box-office revenue prediction of movie based on neural network. J. Comput. Appl. 34(3), 742–748 (2014)
Fikir, O.B., Yaz, I.O., Özyer, T.: A movie rating prediction algorithm with collaborative filtering. In: 2010 International Conference on Advances in Social Networks Analysis and Mining, pp. 321–325. IEEE (2010)
Gupta, R., Garg, N., Das, A.: A novel method to measure the reliability of the bollywood movie rating system. In: 2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering, pp. 340–345. IEEE (2013)
Changkaew, P., Kongkachandra, R.: Automatic movie rating using visual and linguistic information. In: 2010 First International Conference on Integrated Intelligent Computing, pp. 12–16. IEEE (2010)
Liu, C.L., Hsaio, W.H., Lee, C.H., et al.: Movie rating and review summarization in mobile environment. J. IEEE Trans. Syst. Man Cybern. Part C 42(3), 397–407 (2012)
Li, J., Xu, W., Wan, W., et al.: Movie recommendation based on bridging movie feature and user interest. J. Comput Sci. (2018)
Çizmeci, B., Ögüdücü, Ş.G.: Predicting IMDb ratings of pre-release movies with factorization machines using social media. In: 2018 3rd International Conference on Computer Science and Engineering, pp. 173–178. IEEE (2018)
Tang, M., Zhu, L., Zhou, X.C.: Document vector representation based on Word2-Vec. Comput. Sci. 43(6), 214–217 (2016)
Liu, Z.Z.: Analysis of domestic tourism consumption based on multiple linear regression model. J. Chongqing Univ. Technol. (Nat. Sci.) 30(6), 167–170 (2016)
Zhao, L., Wang, S.: Research of public opinion heat trend simulation model based on BP neural network. J. China Soc. Sci. Tech. Inf. 989–999 (2016)
Acknowledgments
This work was supported by Natural Science Foundation of Jilin Provincial Science and Technology Department (20180101016JC); Science and Technology Development Plan of Jilin Province (20180101054JC).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Xie, H., Wang, H., Zhao, C., Wang, Z. (2019). Movie Score Prediction Model Based on Movie Plots. In: Mao, R., Wang, H., Xie, X., Lu, Z. (eds) Data Science. ICPCSEE 2019. Communications in Computer and Information Science, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0121-0_49
Download citation
DOI: https://doi.org/10.1007/978-981-15-0121-0_49
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0120-3
Online ISBN: 978-981-15-0121-0
eBook Packages: Computer ScienceComputer Science (R0)