大学生网络社会情绪表达策略:基于事件文本挖掘研究  

Strategies for College Students’Online Social Emotional Expression:A Study Based on Event Text Mining

作　　者：刘杰[1] LIU Jie(College of Oceanography and Space Informatics,China University of Petroleum(East China),Qingdao 266580,China)

机构地区：[1]中国石油大学(华东)海洋与空间信息学院,青岛266580

出　　处：《情报工程》2024年第6期59-70,共12页Technology Intelligence Engineering

基　　金：2024年度教育部人文社会科学研究专项任务项目(高校辅导员研究)“经济社会热点事件情境下大学生积极网络社会心态培育研究”(24JDSZ3087);2023年山东省社会科学规划学校思想政治教育(全环境立德树人)研究专项“热点事件中大学生网络社会心态影响因素及其引导策略研究”(23CSZJ39)。

摘　　要：[目的/意义]针对热点事件中大学生网民在线评论具有的主题概念模糊、内容信息分散、情绪表达多样等特点,利用文本挖掘技术手段,开展事件刺激下大学生网络社会情绪影响因素及情绪表达策略研究,对高校育人工作者提升网络舆情识别精度、增强网络舆论引导能力具有重要意义。[方法/过程]搭建了大学生网络社会情绪表达“语义特征-情感识别-生成机理-表达策略”研究框架。以大学生权益诉求事件为例,通过BERTopic主题聚类、深层语义分析以及BiLSTM情感识别,实现对热点事件中大学生网络社会情绪表达策略的精细刻画。[局限]热点事件的范畴应包括负向、中性、正向事件性质,研究仅选取了一例权益维护的负向事件进行了框架分析,数据样本量较小,情绪表达的影响因素及内在路径仍具有较大探讨空间。[结果/结论]基于SOR理论模型等,揭示了热点事件中大学生网络社会情绪表达生成机理,并进一步提出了“事件刺激→个体感知、事件归责与权益权衡→权益诉求”网络社会情绪表达策略具体路径,为高校舆论引领及信息化管理工作提供一种分析研判的工作框架、研究范式及对策启示。[Purpose/Significance]In response to the characteristics of vague thematic concepts,scattered content information,and diverse emotional expressions in online comments by college students during hot events,text mining technology is used to conduct research on the influencing factors and emotional expression strategies of college students’online social emotions under event stimulation.This is of great significance for university education workers to improve the accuracy of online public opinion recognition and enhance their ability to guide online public opinion.[Methods/Processes]We have established a research framework for the expression of college students’online social emotions,which includes semantic features,emotion recognition,generation mechanisms,and expression strategies.Taking the issue of college students’rights demands as an example,this study uses BERTopic topic clustering,deep semantic analysis,and BiLSTM emotion recognition to achieve a detailed characterization of college students’online social emotion expression strategies in hot events.[Limitations]The category of hot events should include negative,neutral,and positive event properties.This study only selected one negative event related to rights protection for framework analysis,with a small sample size.There is still a lot of room for exploration on the influencing factors and internal paths of emotional expression.[Results/Conclusions]Based on the SOR theory model,the generation mechanism of college students’online social emotional expression in hot events has been revealed,namely“event stimulation→individual perception,event attribution and rights balance→rights and interests demands”.All these provided an analytical framework,research paradigm,and policy recommendations for public opinion guidance and information management in universities.

关 键 词：网络社会情绪 语义特征 情感分析 表达策略 大学生 

分 类 号：G35[文化科学—情报学] TP391[自动化与计算机技术—计算机应用技术]