Content-Based Movie Recommendation System with Sentiment Evaluation of Viewer’s Reviews
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-6893-7_15
Reference19 articles.
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3. Uddin, M.N., Shrestha, J., Jo, G.: Enhanced content-based filtering using diverse collaborative prediction for movie recommendation. In: 2009 First Asian Conference on Intelligent Information and Database Systems, pp. 132–137. (2009)
4. Harper, F.M., Konstan, J.A.: The movielens datasets: history and context. ACM Trans. Interact. Intell. Syst. (TiiS) 5, 4, 19, 19 (2015). https://doi.org/10.1145/2827872
5. Singh, V.K., Piryani, R., Uddin, A., Waila, P.: Sentiment analysis of movie reviews: a new feature-based heuristic for aspect-level sentiment classification, In: International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s), pp. 712–717. (2013). https://doi.org/10.1109/iMac4s.2013.6526500
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