The marital and fertility sentiment orientation of Chinese women and its influencing factors – An analysis based on natural language processing

Yiqing He · Noor Eshah Tom Abdul Wahab · Haslina Binti Muhamad · Darong Liu

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Family Dynamics and Relationships Sentiment Analysis and Opinion Mining Demographic Trends and Gender Preferences

Abstract

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

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2020Gender inequality in academia: Problems and solutions for women faculty in STEM 2019Social media as public opinion: How journalists use social media to represent public opinion 2021Changes in US Parents’ Domestic Labor During the Early Days of the COVID‐19 Pandemic 2019Babies, Work, or Both? Highly Educated Women’s Employment and Fertility in East Asia 2011Using natural language processing technology for qualitative data analysis 2022Childbearing motivation at the onset of emerging adulthood 2022Family dynamics and relationships in female entrepreneurship: an exploratory study 2021Accelerating Mixed Methods Research With Natural Language Processing of Big Text Data

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