情感计算数据集|社交媒体分析数据集

CPME是一个结合MBTI人格类型与多级中文情感标注的多标签情感计算数据集，包含80,000条GPT生成的微博帖子，覆盖16种人格类型，每条标注六种基本情感及其强度。数据集兼具语言风格一致性与情感多样性，避免了隐私问题，适用于情感识别、人格建模等任务，在心理学、教育、市场营销等领域具有广泛应用价值。

CPME is a multi-label sentiment computing dataset integrating MBTI personality types and multi-level Chinese emotion annotations. It contains 80,000 GPT-generated Weibo posts covering all 16 MBTI personality types, with each post annotated with six basic emotions and their respective intensity levels. This dataset features both linguistic style consistency and emotional diversity, while avoiding privacy concerns. It is applicable to tasks such as emotion recognition and personality modeling, and has broad application value in fields including psychology, education, marketing and other related areas.

搜集汇总

背景与挑战

背景概述

CPME是一个多标签情感计算数据集，结合MBTI人格类型与多级中文情感标注，包含80,000条GPT生成的微博帖子，覆盖16种人格类型，每条标注六种基本情感及其强度。数据集兼具语言风格一致性与情感多样性，避免了隐私问题，适用于情感识别、人格建模等任务，在心理学、教育、市场营销等领域具有应用价值。