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Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network

Theoretical research into the emotional attributes of ideological and political education can improve our ability to understand human emotion and solve socio-emotional problems. To that end, this study undertook an analysis of emotion in ideological and political education by integrating a gate recu...

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Detalles Bibliográficos
Autores principales: Shen, Shoucheng, Fan, Jinling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361775/
https://www.ncbi.nlm.nih.gov/pubmed/35959025
http://dx.doi.org/10.3389/fpsyg.2022.908154
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author Shen, Shoucheng
Fan, Jinling
author_facet Shen, Shoucheng
Fan, Jinling
author_sort Shen, Shoucheng
collection PubMed
description Theoretical research into the emotional attributes of ideological and political education can improve our ability to understand human emotion and solve socio-emotional problems. To that end, this study undertook an analysis of emotion in ideological and political education by integrating a gate recurrent unit (GRU) with an attention mechanism. Based on the good results achieved by BERT in the downstream network, we use the long focusing attention mechanism assisted by two-way GRU to extract relevant information and global information of ideological and political education and emotion analysis, respectively. The two kinds of information complement each other, and the accuracy of emotion information can be further improved by combining neural network model. Finally, the validity and domain adaptability of the model were verified using several publicly available, fine-grained emotion datasets.
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spelling pubmed-93617752022-08-10 Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network Shen, Shoucheng Fan, Jinling Front Psychol Psychology Theoretical research into the emotional attributes of ideological and political education can improve our ability to understand human emotion and solve socio-emotional problems. To that end, this study undertook an analysis of emotion in ideological and political education by integrating a gate recurrent unit (GRU) with an attention mechanism. Based on the good results achieved by BERT in the downstream network, we use the long focusing attention mechanism assisted by two-way GRU to extract relevant information and global information of ideological and political education and emotion analysis, respectively. The two kinds of information complement each other, and the accuracy of emotion information can be further improved by combining neural network model. Finally, the validity and domain adaptability of the model were verified using several publicly available, fine-grained emotion datasets. Frontiers Media S.A. 2022-07-26 /pmc/articles/PMC9361775/ /pubmed/35959025 http://dx.doi.org/10.3389/fpsyg.2022.908154 Text en Copyright © 2022 Shen and Fan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Shen, Shoucheng
Fan, Jinling
Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network
title Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network
title_full Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network
title_fullStr Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network
title_full_unstemmed Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network
title_short Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network
title_sort emotion analysis of ideological and political education using a gru deep neural network
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361775/
https://www.ncbi.nlm.nih.gov/pubmed/35959025
http://dx.doi.org/10.3389/fpsyg.2022.908154
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