Multiscale cascaded domain-based approach for Arabic fake reviews detection in e-commerce platforms-Reference-Cited by-同舟云学术

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Multiscale cascaded domain-based approach for Arabic fake reviews detection in e-commerce platforms

Published:2024-02 Issue:2 Volume:36 Page:101926
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Qandos Nour^ORCID,Hamad Ghadir,Alharbi Maitha,Alturki Shatha,Alharbi Waad,Albelaihi Arwa A.^ORCID

Funder

Qassim University

Deanship of Scientific Research, King Saud University

Publisher

Elsevier BV

Reference47 articles.

1. Fake reviews detection through analysis of linguistic features;Abri,2020

2. Detecting Arabic fake reviews in E-commerce platforms using machine and deep learning approaches;Alharthi;J. King Abdulaziz Univ. Comput. Inf. Technol. Sci.,2022

3. Development of integrated neural network model for identification of fake reviews in E-commerce using multidomain datasets;Alsubari;Appl. Bionics Biomech.,2021

4. Practical Text Analytics: Maximizing the Value of Text Data;Anandarajan,2019

5. EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection;Andresini;J. Comput. Math. Data Sci.,2022

Cited by 2 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. Designing a deep learning-based application for detecting fake online reviews;Engineering Applications of Artificial Intelligence;2024-08

2. Determinants of multimodal fake review generation in China’s E-commerce platforms;Scientific Reports;2024-04-12

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