The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing.
<h4>Background</h4>With the evolution of China's social structure and values, there has been a shift in attitudes towards marriage and fertility, with an increasing number of women holding diverse perspectives on these matters. In order to better comprehend the fundamental reasons b...
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Format: | Article |
Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0296910 |
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author | Yiqing He Noor Eshah Tom Abdul Wahab Haslina Muhamad Darong Liu |
author_facet | Yiqing He Noor Eshah Tom Abdul Wahab Haslina Muhamad Darong Liu |
author_sort | Yiqing He |
collection | DOAJ |
description | <h4>Background</h4>With the evolution of China's social structure and values, there has been a shift in attitudes towards marriage and fertility, with an increasing number of women holding diverse perspectives on these matters. In order to better comprehend the fundamental reasons behind these attitude changes and to provide a basis for targeted policymaking, this study employs natural language processing techniques to analyze the discourse of Chinese women.<h4>Methods</h4>The study focused on analyzing 3,200 comments from Weibo, concentrating on six prominent topics linked to women's marriage and fertility. These topics were treated as research cases. The research employed natural language processing techniques, such as sentiment orientation analysis, Word2Vec, and TextRank.<h4>Results</h4>Firstly, the overall sentiment orientation of Chinese women toward marriage and fertility was largely pessimistic. Secondly, the factors contributing to this negative sentiment were categorized into four dimensions: social policies and rights protection, concerns related to parenting, values and beliefs associated with marriage and fertility, and family and societal culture.<h4>Conclusion</h4>Based on these outcomes, the study proposed a range of mechanisms and pathways to enhance women's sentiment orientation towards marriage and fertility. These mechanisms encompass safeguarding women and children's rights, promoting parenting education, providing positive guidance on social media, and cultivating a diverse and inclusive social and cultural environment. The objective is to offer precise and comprehensive reference points for the formulation of policies that align more effectively with practical needs. |
first_indexed | 2024-03-07T21:42:49Z |
format | Article |
id | doaj.art-ba5288e86e9547c8afc4c0678c8e6299 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-03-07T21:42:49Z |
publishDate | 2024-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-ba5288e86e9547c8afc4c0678c8e62992024-02-26T05:31:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01192e029691010.1371/journal.pone.0296910The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing.Yiqing HeNoor Eshah Tom Abdul WahabHaslina MuhamadDarong Liu<h4>Background</h4>With the evolution of China's social structure and values, there has been a shift in attitudes towards marriage and fertility, with an increasing number of women holding diverse perspectives on these matters. In order to better comprehend the fundamental reasons behind these attitude changes and to provide a basis for targeted policymaking, this study employs natural language processing techniques to analyze the discourse of Chinese women.<h4>Methods</h4>The study focused on analyzing 3,200 comments from Weibo, concentrating on six prominent topics linked to women's marriage and fertility. These topics were treated as research cases. The research employed natural language processing techniques, such as sentiment orientation analysis, Word2Vec, and TextRank.<h4>Results</h4>Firstly, the overall sentiment orientation of Chinese women toward marriage and fertility was largely pessimistic. Secondly, the factors contributing to this negative sentiment were categorized into four dimensions: social policies and rights protection, concerns related to parenting, values and beliefs associated with marriage and fertility, and family and societal culture.<h4>Conclusion</h4>Based on these outcomes, the study proposed a range of mechanisms and pathways to enhance women's sentiment orientation towards marriage and fertility. These mechanisms encompass safeguarding women and children's rights, promoting parenting education, providing positive guidance on social media, and cultivating a diverse and inclusive social and cultural environment. The objective is to offer precise and comprehensive reference points for the formulation of policies that align more effectively with practical needs.https://doi.org/10.1371/journal.pone.0296910 |
spellingShingle | Yiqing He Noor Eshah Tom Abdul Wahab Haslina Muhamad Darong Liu The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing. PLoS ONE |
title | The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing. |
title_full | The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing. |
title_fullStr | The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing. |
title_full_unstemmed | The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing. |
title_short | The marital and fertility sentiment orientation of Chinese women and its influencing factors - An analysis based on natural language processing. |
title_sort | marital and fertility sentiment orientation of chinese women and its influencing factors an analysis based on natural language processing |
url | https://doi.org/10.1371/journal.pone.0296910 |
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