Staff View: The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy

The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy

Recently, ecological damage and environmental pollution have become increasingly serious. Experts in various fields have started to study related issues from diverse points of view. To prevent the accelerated deterioration of the ecological environment, ecolinguistics emerged. Eco-critical discourse...

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Main Authors:	Zhang, Biyun, Sandaran, Shanti Chandran, Feng, Jing
Format:	Article
Language:	English
Published:	Public Library of Science 2023
Subjects:	P Philology. Linguistics
Online Access:	http://eprints.utm.my/106399/1/ShantiChandranSandaran2023_TheEcologicalDiscourseAnalysisofNewsDiscourse.pdf http://eprints.utm.my/106399/ http://dx.doi.org/10.1371/journal.pone.0280190
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spelling	my.utm.1063992024-06-29T07:18:26Z http://eprints.utm.my/106399/ The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy Zhang, Biyun Sandaran, Shanti Chandran Feng, Jing P Philology. Linguistics Recently, ecological damage and environmental pollution have become increasingly serious. Experts in various fields have started to study related issues from diverse points of view. To prevent the accelerated deterioration of the ecological environment, ecolinguistics emerged. Eco-critical discourse analysis is one of the important parts of ecolinguistics research, that is, it is a critical discourse analysis of the use of language from the perspective of the language's ecological environment. Firstly, an ecological tone and modality system are constructed from an ecological perspective. Under the guidance of the ecological philosophy of "equality, harmony, and symbiosis", this study conducts an ecological discourse analysis on the Sino-US trade friction reports, aiming to present the similarities and differences between the two newspapers' trade friction discourses and to reveal the ecological significance of international ecological factors in the discourse. Secondly, this method establishes a vector expression of abstract words based on emotion dictionary resources and introduces emotion polarity and part-of-speech features of words. Then the word vector is formed into the text feature matrix, which is used as the input of the Convolutional Neural Network (CNN) model, and the Back Propagation algorithm is adopted to train the model. Finally, in the light of the trained CNN model, the unlabeled news is predicted, and the experimental results are analyzed. The results reveal that during the training process of Chinese and English datasets, the accuracy of the training set can reach nearly 100%, and the loss rate can be reduced to 0. On the test set, the classification accuracy of Chinese text can reach 83%, while that of English text can reach 90%, and the experimental results are ideal. This study provides an explanatory approach for ecological discourse analysis on the news reports of Sino-US trade frictions and has certain guiding significance for the comparative research on political news reports under different ideologies between China and the United States. Public Library of Science 2023-01 Article PeerReviewed application/pdf en http://eprints.utm.my/106399/1/ShantiChandranSandaran2023_TheEcologicalDiscourseAnalysisofNewsDiscourse.pdf Zhang, Biyun and Sandaran, Shanti Chandran and Feng, Jing (2023) The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy. PLoS ONE, 18 (1). pp. 1-15. ISSN 1932-6203 http://dx.doi.org/10.1371/journal.pone.0280190 DOI:10.1371/journal.pone.0280190
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	P Philology. Linguistics
spellingShingle	P Philology. Linguistics Zhang, Biyun Sandaran, Shanti Chandran Feng, Jing The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
description	Recently, ecological damage and environmental pollution have become increasingly serious. Experts in various fields have started to study related issues from diverse points of view. To prevent the accelerated deterioration of the ecological environment, ecolinguistics emerged. Eco-critical discourse analysis is one of the important parts of ecolinguistics research, that is, it is a critical discourse analysis of the use of language from the perspective of the language's ecological environment. Firstly, an ecological tone and modality system are constructed from an ecological perspective. Under the guidance of the ecological philosophy of "equality, harmony, and symbiosis", this study conducts an ecological discourse analysis on the Sino-US trade friction reports, aiming to present the similarities and differences between the two newspapers' trade friction discourses and to reveal the ecological significance of international ecological factors in the discourse. Secondly, this method establishes a vector expression of abstract words based on emotion dictionary resources and introduces emotion polarity and part-of-speech features of words. Then the word vector is formed into the text feature matrix, which is used as the input of the Convolutional Neural Network (CNN) model, and the Back Propagation algorithm is adopted to train the model. Finally, in the light of the trained CNN model, the unlabeled news is predicted, and the experimental results are analyzed. The results reveal that during the training process of Chinese and English datasets, the accuracy of the training set can reach nearly 100%, and the loss rate can be reduced to 0. On the test set, the classification accuracy of Chinese text can reach 83%, while that of English text can reach 90%, and the experimental results are ideal. This study provides an explanatory approach for ecological discourse analysis on the news reports of Sino-US trade frictions and has certain guiding significance for the comparative research on political news reports under different ideologies between China and the United States.
format	Article
author	Zhang, Biyun Sandaran, Shanti Chandran Feng, Jing
author_facet	Zhang, Biyun Sandaran, Shanti Chandran Feng, Jing
author_sort	Zhang, Biyun
title	The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
title_short	The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
title_full	The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
title_fullStr	The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
title_full_unstemmed	The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
title_sort	ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy
publisher	Public Library of Science
publishDate	2023
url	http://eprints.utm.my/106399/1/ShantiChandranSandaran2023_TheEcologicalDiscourseAnalysisofNewsDiscourse.pdf http://eprints.utm.my/106399/ http://dx.doi.org/10.1371/journal.pone.0280190
_version_	1803335002847444992
score	13.211869

The ecological discourse analysis of news discourse based on deep learning from the perspective of ecological philosophy

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