基于LDA2vec模型老年人主观幸福感主题时序演化分析

Analysis of the Time-Series Evolution of Subjective Well-Being Themes among the Elderly Based on LDA2vec Modeling

摘要: 关注老年人的主观幸福感在积极应对老龄化方面具有重要意义。本文采用LDA2vec主题模型对中国知网数据库中老年人主观幸福感领域文章进行主题挖掘，运用TF-IDF算法、LDA模型结合Word2vec词向量模型，从时间维度上深入挖掘老年人幸福感的核心主题及其演变路径，得到“养老模式与社会演化的关系”、“社会关系与偏远地区老年人”、“跨文化视角下的老年人幸福感”和“健康与数字老龄化”四个主题。通过计算主题热度，得到近五年的主题热度趋势结果。同时在时间维度上讨论了各主题的拐点时间和首次发文时间，并可视化三个时间窗口上主题演化情况，直观呈现了老年人主观幸福感文章的主题结构和演化趋势。从研究热点看，“心理健康”与“社会支持”是该领域的重要研究主题。从整体上看，主题间的交叉融合不断发展，研究的主题逐渐多样化。

Abstract: The subjective well-being of older adults plays a significant role in actively addressing the challenges of aging. This study uses the LDA2vec topic model to perform topic extraction on articles related to elderly subjective well-being from the CNKI database. By applying the TF-IDF algorithm and combining the LDA model with the Word2Vec word vector model, the study delves into the core themes and evolution paths of elderly well-being from a temporal perspective. Four key themes were identified: “the relationship between elderly care models and social evolution,” “social relationships and elderly individuals in remote areas,” “elderly well-being from a cross-cultural perspective,” and “health and digital aging.” By calculating the topic popularity, the study presents the trend of topic popularity over the past five years. Additionally, the turning points and first publication times of each theme were discussed from a temporal dimension, and the evolution of topics across three time windows was visualized, offering an intuitive presentation of the topic structure and evolution trends in research on elderly subjective well-being. In terms of research hotspots, “mental health” and “social support” emerged as key themes in this field. Overall, the intersection and integration between topics have continued to evolve, with research themes gradually diversifying.