In this paper, we empirically explore a hierarchical neural network model with attention mechanism for deceptive reviews detection. Specifically, we first use ...
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Based on this observation, this paper explores a hierarchical neural network model with attention mechanism, which can learn a global review representation from ...
This research proposes an HNN model to solve the emotion recognition problem with three deep learning, one for the sentiment in the first layer and two ...
Based on this observation, this paper explores a hierarchical neural network model with attention mechanism, which can learn a global review representation from ...
May 5, 2022 · Deceptive reviews detection has attracted extensive attentions from the business and research communities in recent years.
What is a good machine learning method for a smaller data set?
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May 6, 2020 · What machine learning model should I use for a small and unbalanced training set? The simplicity of your question is deceptive because this ...
Jan 19, 2024 · Wang et al. [26] proposed a neural network based on attention mechanism, and combined with language features and behavioral features to detect ...
Apr 26, 2020 · Specifically: we should be interested in "subagents" which are formed via hierarchical composition of heuristics and/or lower-level subagents, ...
Abstract: Concerning the problem that traditional discrete models fail to capture global semantic information of whole comment text in deceptive review ...
Mar 10, 2023 · This attention mechanism is particularly useful for detecting fake online reviews by identifying subtle differences between genuine and fake ...