The proposed neural network model learns continuous vector representations for documents of variable lengths, which is used as features to classify a spam or ...
A CNN model is developed to detect opinion spam using the features extracted from the pre-trained GloVe: Global Vectors for Word Representation model and ...
In this paper, we empirically explore a neural network model to learn document-level representation for detecting deceptive opinion spam. In particular ...
Missing: study. | Show results with:study.
Apr 1, 2017 · In this work, we empirically explore a neural network model to learn document-level representation for detecting deceptive opinion spam.
Experimental results show that the proposed neural network model to learn document-level representation for detecting deceptive opinion spam outperforms state-
Missing: empirical | Show results with:empirical
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Most of the existing research on opinion spam detection uses the traditional bag-of-words model to represent the review text features and apply standard machine ...
Missing: empirical | Show results with:empirical
[6] introduced a neural network model to learn document representation in order to detect deceptive spam opinions using Convolutional Neural Networks. The ...
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Nov 3, 2022 · Abstract—A robust and reliable system of detecting spam reviews is a crying need in today's world in order to purchase.
Apr 15, 2021 · The limitations of existing studies of fake/deceptive/spam review detection are proposing automated methods for detecting and discriminating ...