The Impact of applying Different Preprocessing Steps on Review Spam Detection-Reference-Cited by-同舟云学术

The Impact of applying Different Preprocessing Steps on Review Spam Detection

Published:2017 Issue: Volume:113 Page:273-279
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Etaiwi Wael,Naymat Ghazi

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

1. "Detecting product review spammers using rating behaviors." Proceedings of the 19th ACM international conference on Information and knowledge management;Lim,2010

2. "Survey on review spam detection.";Dixit;Int J Comput Commun Technol ISSN (PRINT),2013

3. Jindal, Nitin, and Bing Liu. "Review spam detection." Proceedings of the 16th international conference on World Wide Web. ACM, 2007.

4. "Opinion spam and analysis." Proceedings of the 2008 International Conference on Web Search and Data Mining;Jindal,2008

5. Semi-supervised learning. Vol. 2;Chapelle,2006

Cited by 47 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. Bengali fake reviews: A benchmark dataset and detection system;Neurocomputing;2024-08

2. A Transformer Model for Manifesto Classification Using Cross-Context Training: An Ecuadorian Case Study;Social Science Computer Review;2024-07-24

3. Analyzing fuzzy semantics of reviews for multi-criteria recommendations;Data & Knowledge Engineering;2024-07

4. Spam Detection in Arabic Tweets Using Artificial Intelligence Techniques;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

5. Early depression detection using ensemble machine learning framework;International Journal of Information Technology;2024-06-12