Application of Natural Language Processing Methods in Exploring Changes in Parent-Child Relationships under the "Double Reduction" Policy and Their Key Predictors

Siqi Wang

doi:10.54254/2753-7048/2025.22384

Research Article

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Published on 24 April 2025

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Wang,S. (2025). Application of Natural Language Processing Methods in Exploring Changes in Parent-Child Relationships under the "Double Reduction" Policy and Their Key Predictors. Lecture Notes in Education Psychology and Public Media,82,81-94.

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Application of Natural Language Processing Methods in Exploring Changes in Parent-Child Relationships under the "Double Reduction" Policy and Their Key Predictors

Siqi Wang *^,1,

¹ School of Humanities and Social Sciences, Beijing Forestry University, Beijing, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7048/2025.22384

Abstract

This study employs natural language processing (NLP) methods to explore the impact of China’s "Double Reduction" policy on parent-child relationships and identify key predictive factors. By quantitatively analyzing 1,433 textual data samples, the study applies NLP algorithms, utilizing the Word2Vec pre-trained model and introducing the Dynamic Topic Model (DTM) to examine how parental roles, educational approaches, education policies, and other key factors influence parent-child relationships. The results indicate that: (1) In the initial phase of policy implementation, parents focused more on balancing work and family life, gradually shifting towards emphasizing their children's holistic development and social competence over time. (2) During policy adjustments, parental cognitive changes and responsibility anxiety played an intermediary role in adjusting their roles and interactions with their children—that is, changes in cognition and responsibility anxiety prompted shifts in parental roles. This study not only provides new perspectives and methodological support for research in psychology and education but also offers scientific evidence for optimizing family education environments and policymaking.

Keywords

"Double Reduction" policy, parent-child relationship, natural language processing (NLP)

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Volume title: Proceedings of the 3rd International Conference on Social Psychology and Humanity Studies

Conference website: https://2025.icsphs.org

ISBN：978-1-83558-933-5(Print) / 978-1-83558-934-2(Online)

Conference date: 14 February 2025

Editor：Kurt Buhring, Javier Cifuentes-Faura

Series: Lecture Notes in Education Psychology and Public Media

Volume number: Vol.82

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