Sentiment Analysis and Innovative Recommender System: Enhancing Goodreads Book Discovery Using Hybrid Collaborative and Content Based Filtering
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59707-7_9
Reference27 articles.
1. Lecture Notes on Data Engineering and Communications Technologies;MAZBM Asri,2022
2. Lecture Notes on Data Engineering and Communications Technologies;EFBK Fasha,2022
3. Sofian, N.B., Keikhosrokiani, P., Asl, M.P.: Opinion mining and text analytics of reader reviews of Yoko Ogawa’s The Housekeeper and the Professor in Goodreads. In: Keikhosrokiani, P., Pourya Asl, M. (eds.) Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media, pp. 240–262. IGI Global, Hershey (2022)
4. Suhendra, N.H.B., Keikhosrokiani, P., Asl, M.P., Zhao, X.: Opinion mining and text analytics of literary reader responses: a case study of reader responses to KL Noir volumes in Goodreads using sentiment analysis and topic. In: Keikhosrokiani, P., Pourya Asl, M. (eds.) Handbook of Research on Opinion Mining and Text Analytics on Literary Works and Social Media, pp. 191–239. IGI Global, Hershey (2022)
5. Keikhosrokiani, P., Asl, M.P.: Handbook of research on opinion mining and text analytics on literary works and social media. IGI Global, Hershey (2022)
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