Cargando…
Online Troll Reviewer Detection Using Deep Learning Techniques
The concentration of this paper is on detecting trolls among reviewers and users in online discussions and link distribution on social news aggregators such as Reddit. Trolls, a subset of suspicious reviewers, have been the focus of our attention. A troll reviewer is distinguished from an ordinary r...
Autores principales: | Al-Adhaileh, Mosleh Hmoud, Aldhyani, Theyazn H. H., Alghamdi, Ans D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213121/ https://www.ncbi.nlm.nih.gov/pubmed/35747397 http://dx.doi.org/10.1155/2022/4637594 |
Ejemplares similares
-
Multi-Class Skin Lesion Classification Using a Lightweight Dynamic Kernel Deep-Learning-Based Convolutional Neural Network
por: Aldhyani, Theyazn H. H., et al.
Publicado: (2022) -
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia
por: Al-Adhaileh, Mosleh Hmoud, et al.
Publicado: (2022) -
Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms
por: Alsaade, Fawaz Waselallah, et al.
Publicado: (2021) -
Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets
por: Alsubari, Saleh Nagi, et al.
Publicado: (2021) -
Retracted: Online Troll Reviewer Detection Using Deep Learning Techniques
por: and Biomechanics, Applied Bionics
Publicado: (2023)