基于LDA模型的中国大学生心理韧性研究主题识别与演进分析

Research on Psychological Resilience of Chinese College Students Based on LDA Model: Topic Identification and Evolution Analysis

摘要: 该研究基于潜在狄利克雷分配(LDA)主题模型，对中国知网(CNKI)数据库中618篇关于中国大学生心理韧性的期刊文献进行了计量分析。研究旨在系统梳理该领域的核心研究主题与演化路径。通过使用Python进行文本预处理和主题挖掘，研究识别出八个核心主题，包括群体心理健康测评、压力挫折与韧性培育、主观幸福感等。研究发现，该领域的研究范式经历了从“量表测量”到“机制挖掘”再到“实践应用”的转型。主题强度分析显示，“压力挫折与心理韧性培育”是当前热点，而“留守大学生”相关研究热度持续下降。主题演化分析揭示了“社会支持–心理韧性–主观幸福感”这一经典作用链条的形成与巩固。该研究通过数据驱动的方法，为理解大学生心理韧性研究的全貌提供了可量化的知识图谱，并为未来的科研选题和高校心理健康教育提供参考。

Abstract: This study employs a Latent Dirichlet Allocation (LDA) topic model to conduct a bibliometric analysis of 618 journal articles on Chinese college students’ psychological resilience, retrieved from the China National Knowledge Infrastructure (CNKI) database. The research aims to systematically delineate the core research themes and evolutionary trajectories within this field. Through text preprocessing and topic mining using Python, eight focal themes were identified, including group-level mental health assessment, stress-adversity and resilience cultivation, and subjective well-being. Findings indicate that the research paradigm in this domain has undergone a transition from “scale-based measurement” to “mechanism exploration” and subsequently to “practical application.” Topic intensity analysis reveals that “stress-adversity and resilience cultivation” constitutes the current research hotspot, whereas studies pertaining to “left-behind college students” have exhibited a persistent decline in popularity. The thematic evolution analysis further uncovers the formation and consolidation of the classic mediational chain—“social support → psychological resilience → subjective well-being.” By adopting a data-driven approach, this study furnishes a quantifiable knowledge map for comprehending the holistic landscape of psychological resilience research among college students, and offers insights for future research topic selection as well as university-based mental health education interventions.