Examining Attention Mechanisms in Deep Learning Models for Sentiment Analysis

Examining Attention Mechanisms in Deep Learning Models for Sentiment Analysis

Attention-based methods for deep neural networks constitute a technique that has attracted increased interest in recent years. Attention mechanisms can focus on important parts of a sequence and, as a result, enhance the performance of neural networks in a variety of tasks, including sentiment analy...

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Bibliographic Details
Main Authors: Spyridon Kardakis, Isidoros Perikos, Foteini Grivokostopoulou, Ioannis Hatzilygeroudis
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
attention mechanism
deep neural networks
global-attention
hierarchical-attention
self-attention
sentiment analysis
Online Access:https://www.mdpi.com/2076-3417/11/9/3883

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https://www.mdpi.com/2076-3417/11/9/3883

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