Movie Rating Prediction System Based on Opinion Mining and Artificial Neural Networks-Reference-Cited by-同舟云学术

Movie Rating Prediction System Based on Opinion Mining and Artificial Neural Networks

Published:2018-11-28 Issue: Volume: Page:41-47
ISSN:2194-5357
Container-title:International Conference on Advanced Computing Networking and Informatics
language:
Short-container-title:

Author:

Basu Somdutta

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-2673-8_6

Reference6 articles.

1. B. Pang, L. Lee, S. Vaithyanathan, Thumbs up?: sentiment classification using machine learning techniques, in Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, vol. 10. Association for Computational Linguistics (2002)

2. K. Lee, Predicting movie success with machine learning techniques: ways to improve accuracy (across local markets). Mark. Sci. 29(5), 944–957. Springer 2016

3. T. Liu, X. Ding, Y. Cheng, H. Chen, M. Guo, Predicting movie Box-office revenues by exploiting large-scale social media content. Springer 201 (2014)

4. D.W. Marqaurdt, An algorithm for least squares estimation of non-linear parameters. J. Soc. Ind. Appl. Math. (1963)

5. B.E. Boser, I.M. Guyon, V.N. Vapnik, A training algorithm for optimal margin classifiers. ACM (1992)

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ratings and Factor Affecting Across Genres: A Study from Entertainment Industry;SSRN Electronic Journal;2024

2. Revisiting predictions of movie economic success: random Forest applied to profits;Multimedia Tools and Applications;2023-03-28

3. Sentiment Analysis of Movies Based on Natural Language Processing;Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023);2023

4. Literature Review with Study and Analysis of the Quality Challenges of Recommendation Techniques and Their Application in Movie Ratings;Studies in Big Data;2020-12-15

5. A Literature Review of Quality Evaluation of Large-Scale Recommendation Systems Techniques;Advances in Intelligent Systems and Computing;2019-10-02