Predicting rating polarity through automatic classification of review texts
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8274999/8284094/08284101.pdf?arnumber=8284101
Cited by 9 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. A Multi-type Classifier Ensemble for Detecting Fake Reviews Through Textual-based Feature Extraction;ACM Transactions on Internet Technology;2023-02-28
2. Predicting Corresponding Ratings from Goodreads Book Reviews;International Conference on Innovative Computing and Communications;2023
3. EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection;Journal of Computational Mathematics and Data Science;2022-06
4. A textual-based featuring approach for depression detection using machine learning classifiers and social media texts;Computers in Biology and Medicine;2021-08
5. Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews;Electronic Commerce Research and Applications;2021-05
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