收稿日期: 2015-09-27
修回日期: 2015-10-20
网络出版日期: 2015-11-05
基金资助
本文系国家自然科学基金面上项目"大数据环境下多媒体网络舆情信息的语义识别与危机响应研究"(项目编号:71473101)研究成果之一。
Correlation Model Construction of Emotional Dimension of Network Public Opinion Information for Big Data
Received date: 2015-09-27
Revised date: 2015-10-20
Online published: 2015-11-05
黄微 , 刘英杰 , 王洁晶 , 韩瑞雪 . 大数据网络舆情信息情感维度要素的关联模型构建[J]. 图书情报工作, 2015 , 59(21) : 15 -20 . DOI: 10.13266/j.issn.0252-3116.2015.21.002
[Purpose/significance]The emotional dimension is the evaluation signal for early warning level of the network public opinion information, and the relevent model construction of its infuence factors can clearly describe the complex relationships between factors and the relationship with the big data network public opinion environment, so as to provide a reference for in-depth study of the emotional development of network public opinion information for big data.[Method/process]According to the emotion dimension theory, the emotional dimension elements model in the big data network environment is constructed from three dimensions of the type of emotion, conversion of emotion and arousal of emotion.[Result/conclusion]The empirical analysis results show that, in the emotional dimension model of public opinion information for big data, there is a significant correlation between the emotional level, emotional reaction and emotional focus dimension of public opinion information for big data; there is a weak correlation between emotional orientation and other dimensions; there is no completely independent element in the emotional dimension model.
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