文献类型：期刊文献

中文题名：融合表情符号动态特征的舆情分析研究

英文题名：An Analysis of Web Opinion Combining the Dynamic Characteristics of Emoji

作者：李楠[1];张羽卉[1]

机构：[1]华东理工大学科技信息研究所,上海200237

年份：2021

卷号：41

期号：8

起止页码：98

中文期刊名：现代情报

外文期刊名：Journal of Modern Information

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;CSSCI:【CSSCI2021_2022】；

基金：中央高校基本科研业务费专项资金资助项目“数据素养培育视角下图情知识体系建构研究”(编号:JKR01212601)。

语种：中文

中文关键词：表情符号;网络舆情;情感分析;动态特征;微博评论;舆情倾向分析

外文关键词：emoji;web opinion;emotion analysis;dynamic characteristics;Weibo comments;analysis of tendency of public opinion

摘要：[目的/意义]表情符号在网络舆情分析中的作用和价值逐渐显现,然而复杂网络环境下表情符号呈现出语境依赖、情感极性多元化等动态化特征,对于表情符号动态变化规律的研究不仅有利于丰富对表情符号使用规律的认识,更有助于提升舆情分析的准确度和有效性。[方法/过程]本文通过对微博评论中表情符号使用分布、情感异化等的多角度分析,挖掘表情符号的动态变化规律并在此基础上建立融合表情符号动态特征的网络舆情倾向分析模型。[结果/结论]实验证明:表情符号分布特征和情感变化规律具有显著的主题相关性、极性相关性及情感异化等动态特征,将其引入网络舆情分析能有效提升情感分析的识别精度。
[Purpose/Significance]The value of emoji in the analysis of network public opinion gradually appear,but emoji in complex network environment presents dynamic characteristics such as context dependence and emotional polarity diversification.The study of the dynamic change law of emoji is not only helpful to enrich the understanding of the use of emoji,but also to improve the accuracy and effectiveness of public opinion analysis.[Method/Process]Based on the multi-angle analysis of emoji usage distribution and emotion change in Weibo comments,this paper excavates the dynamic change law of emoji and establishes the web public opinion tendency analysis model which integrates the dynamic characteristics of emoji.[Result/Conclusion]The comparative experiment of Weibo public opinion tendency analysis based on emoji shows that the regular change of emoji expression emotion has a positive effect on the analysis of public opinion tendency,and the introduction of emoji dynamic characteristics can effectively improve the recognition accuracy of emotion analysis.