移动环境下网络舆情受众B-S画像模型构建研究
Research on B-S Portrait Model Construction of Online Public Opinion Audience in Mobile Environment
黄微 1赵旭 2张晓君3
作者信息
- 1. 吉林大学商学与管理学院 长春 130012
- 2. 吉林大学商学与管理学院 长春 130012;吉林师范大学图书馆 四平 136000
- 3. 吉林大学教务处 长春 130012
- 折叠
摘要
[目的/意义]网络舆情受众的参与行为标定仍未出现较为完备且广泛被接受的方法,提出并设计网络舆情受众B-S画像作为参与行为标定的方法.[方法/过程]对受众画像模型进行多维解析,分别构建参与行为识别模型、情感特征分析模型,并将其融入至传统用户画像方法,最后提出移动环境下网络舆情受众画像模型框架.[结果/结论]网络舆情受众画像模型能够为网络舆情受众参与行为研究向纵深多维度发展提供指引,也能够从实践层面,为舆情管理部门从更科学的视角对受众行为进行观察、测量与标定提供工具.
Abstract
[Purpose/Significance]Since there is no relatively complete and widely accepted method to calibrate the participation behavior of the online public opinion audience,this paper proposes and designs the B-S portrait of the online public opinion audience as the calibration method.[Method/Process]It carried out the multi-dimensional analysis of audience portrait model,and constructed participation behavior identification mod-els and emotional feature analysis models,which were integrated into traditional user portrait methods.Finally,it proposed a framework for online public opinion audience portrait models in mobile environments.[Result/Con-clusion]The calibration model can not only provide guidance for the in-depth and multi-dimensional develop-ment of the calibration research of online public opinion audience participation behavior,but also provide tools for public opinion management departments to observe,measure and calibrate audience behavior from a more scientific perspective.
关键词
移动环境/网络舆情/受众画像/行为标定Key words
mobile environment/online public opinion/audience portrait/behavior calibration引用本文复制引用
基金项目
2022年度国家自然科学基金面上项目(72174072)
吉林师范大学博士科研启动基金项目(2023042)
出版年
2024
NETL
NSTL
万方数据