Enhanced Extremist Reviewer Group Detection in Online Product Reviews using RNN in comparison with CNN-Reference-Cited by-同舟云学术

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Enhanced Extremist Reviewer Group Detection in Online Product Reviews using RNN in comparison with CNN

Published:2023-11-23 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 9th International Conference on Smart Structures and Systems (ICSSS)
language:
Short-container-title:

Author:

Ajay K.¹,S Loganayagi²

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,Pincode:602105

2. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,Pincode:602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406300/10406306/10407235.pdf?arnumber=10407235

Reference18 articles.

1. Exploratory Data Analysis and Classification of a New Arabic Online Extremism Dataset

2. Novel Detection of Accurate Spam Content using Logistic Regression Algorithm Compared with Gaussian Algorithm

3. An Efficient Spam Review Detection Using Active Deep Learning Classifiers

4. Diagnosis and treatment recommendations for pediatric respiratory infection caused by the 2019 novel coronavirus

5. Online Extremism Detection: A Systematic Literature Review With Emphasis on Datasets, Classification Techniques, Validation Methods, and Tools

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