情感分析和人格评估研究方法框架

Research Methodological Framework for Sentiment Analysis and Personality Assessment

摘要: 在实践中，心理分析长期依赖人工经验，不仅效率低下，研判结果还容易受个人主观判断影响，存在较大偏差。针对这一实际问题，文章提出了一种可以帮助心理分析的多模态情感分析与人格评估理论框架。通过实际调研发现，心理分析场景的核心需求是精准捕捉人的情感波动，而现有单一模态分析方法，要么只关注图像，要么只依赖文本，无法全面覆盖审讯中的多维度信息，局限性十分明显。研究首先深入分析了实际场景的核心需求，指出现有单一模态分析方法的局限性。在此基础上，构建了一个融合微表情、肢体姿态与语言文本的多模态动态特征指标体系，并提出了一种基于注意力机制的渐进式跨模态融合模型理论框架。研究发现，该框架能够有效捕捉不同模态信息间的内在关联，通过引入互信息约束优化特征表示，为更精准、稳定地分析个体情感波动与人格特质提供了可行的技术路径。最后，提出了一个轻量级的智能分析原型系统框架，明确了情感与人格分析的协同融合思路。研究能为心理分析策略的动态调整提供客观的理论支撑，具有重要的理论研究价值和心理分析实战应用前景。

Abstract: In practice, psychological analysis excessively depends on manual experience, leading to low efficiency and subjective deviation. To solve this problem, this paper proposes a multimodal emotion analysis and personality assessment method for public security. Through field research, it was found that the core demand of interrogation is to accurately capture suspects’ emotional changes. However, existing unimodal analysis methods—whether focusing solely on images or relying exclusively on text—fail to comprehensively cover the multidimensional information in interrogation contexts, exhibiting obvious limitations. This study first conducts an in-depth analysis of the core requirements in practical scenarios and identifies the limitations of current unimodal analysis methods. On this basis, a multimodal dynamic feature index system integrating micro-expressions, body posture, and linguistic text is constructed, and a theoretical framework for an attention-based progressive cross-modal fusion model is proposed. The research finds that this framework can effectively capture intrinsic correlations among different modal information. By introducing mutual information constraints to optimize feature representations, it provides a feasible technical path for more accurate and stable analysis of individual emotional fluctuations and personality traits. Furthermore, a lightweight intelligent analysis prototype system is developed, clarifying the collaborative integration approach for sentiment and personality analysis. This research provides objective theoretical support for the dynamic adjustment of psychological analysis strategies and holds significant theoretical research value and practical application prospects in psychological analysis.