五色心晴码

用于全面构建个体化的心理和行为分析模型，依托用户社会属性、生活习惯、行为数据，以及心理测评、模型运算结果等多维度数据，生成动态且高精度的标签化画像。通过融合AI智能分析和自适应学习能力，根据评估结果赋予五色“心晴码”（绿、蓝、黄、橙、红），反映对象的心理健康状态。根据五色“心晴码”的等级，提供不同级别的心理干预。

This dataset is designed to comprehensively construct individualized psychological and behavioral analysis models. It generates dynamic and high-precision labeled portraits by leveraging multi-dimensional data including user social attributes, living habits, behavioral data, psychological assessment results, and model computation outputs. By integrating AI-powered intelligent analysis and adaptive learning capabilities, it assigns the five-color "Mood Code" (green, blue, yellow, orange, red) based on evaluation outcomes to reflect the mental health status of the assessed individual. Corresponding hierarchical psychological interventions are provided according to the grade of the five-color "Mood Code".

搜集汇总

背景与挑战

背景概述

‘五色心晴码’数据集是一个用于心理和行为分析的多维度数据集，通过AI智能分析和自适应学习能力生成动态标签化画像，并提供五色‘心晴码’预警模型和个人/群体数据分析报告接口。