网络舆情信息所表象及内隐的情感数据是其发生、发展和消亡的重要演变信号。文章在情感维度理论和离散情感理论的基础上,构建了网络舆情信息的情感维度模型,并通过实证研究分析模型内涵、各维要素的特征及相互关系,进一步阐释该模型中情感发展演变过程及其规律,从而为大数据网络舆情信息的分级监测和危机预警提供有益参考。 Emotional data represented by network public opinion information and implicit information are important evolution signals of its occurrence, development and demise. Based on the theory of emotional dimension and the theory of discrete emotion, the article builds an emotional dimension model of online public opinion information, and analyzes the connotation of the model and the characteristics and interrelationships of the various dimensions through empirical research to further explain the evolution process of emotional development in the model and Its regularity, and thus provide a useful reference for grading monitoring and crisis early warning of public opinion information in big data networks.