Feb 23, 2022 · In the current study, we considered the issue of fake opinion identification in e-commerce businesses based on deep learning recurrent neural ...

Feb 23, 2022 · In the current study, we considered the issue of fake opinion identification in e-commerce businesses based on deep learning recurrent neural ...

Detecting fake reviews usually uses machine learning techniques, it required labeled data for supervised learning, an unlabeled data set is necessary for ...

An iterative algorithm to detect fake reviews, review spammers and group of spammers at the same time is proposed and a new graph structure which considers ...

Oct 22, 2024 · In the current study, we considered the issue of fake opinion identification in e-commerce businesses based on deep learning recurrent neural ...

Abstract: In e-commerce and on social media, identifying fake opinions has become a tremendous challenge. Such opinions are widely generated on the inter-.

Sep 1, 2024 · Fake review detection in e-commerce platforms using aspect-based sentiment analysis. Journal of Business Research, 167 (2023), Article 114143.

We then developed a deep learning-based model that uses a Long Short-Term Memory. (LSTM) for credibility analysis of customer reviews on E-commerce websites.

This paper presents a novel semantic- and linguistic-aware model for fake review detection that improves accuracy by leveraging advanced transformer ...

This review provides a comprehensive analysis of deep learning techniques used for fake review detection. Key models such as Recurrent Neural Networks (RNNs), ...