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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 learning models such as Support-Vector Machines or Naïve Bayes as classifiers.
The present study analyses and categorises the available literature on opinion spamming according to three detection targets: (1) opinion spam, (2) opinion ...
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Our focus is unsu- pervised detection of deceptive fake reviews in online reviews sites. 3 Model. We now detail our proposed model. We first discuss the basic ...
May 5, 2022 · This article first introduces the task of spam online reviews detection and makes a common definition of spam reviews.
Oct 13, 2017 · The present study analyses and categorises the available literature on opinion spamming according to three detection targets.
Discover this 2017 paper in Journal of Information & Knowledge Management by Rastogi, Ajay; and, Mehrotra, Monica focusing on: CONSUMERS' reviews; ...
May 31, 2022 · We propose a new method for classifying reviewers as spammers or benign, combining machine learning with a message-passing algorithm that ...
These fake reviews could mislead customers, which are often called opinion spam. Therefore, it brings an urgent demand to detect opinion spam as early as ...
Oct 5, 2015 · In this paper, we survey the prominent machine learning techniques that have been proposed to solve the problem of review spam detection.
The present study analyses and categorises the available literature on opinion spamming according to three detection targets: (1) opinion spam, (2) opinion ...