Detecting Fake Reviews Using Aspect-Based Sentiment Analysis and Graph Convolutional Networks

Detecting Fake Reviews Using Aspect-Based Sentiment Analysis and Graph Convolutional Networks

Online reviews significantly influence consumer behavior and business reputations. Detecting fake reviews is important for maintaining trust and integrity in these platforms. We present an aspect-based sentiment analysis approach, referred to as FakeDetectionGCN, to distinguish genuine feedback from...

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Bibliographic Details
Main Authors: Prathana Phukon, Petros Potikas, Katerina Potika
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
fake reviews
aspect-based sentiment analysis
graph neural networks
Online Access:https://www.mdpi.com/2076-3417/15/7/3771
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