| 基于情感分析的突发公共卫生事件微博评论用户画像构建 |
| 修订日期：2022-11-14 点此下载全文 |
| 引用本文：张彩红,李想,周雪侠,等.基于情感分析的突发公共卫生事件微博评论用户画像构建[J].医学信息学杂志,2023,44(3):18-22 |
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| 基金项目:安徽高校人文社会科学重点研究项目“基于多源数据融合的医药领域技术创新机会识别机制研究”(项目编号:SK2020A0355)；安徽省大学生创新创业计划项目“基于情感分析的突发公共卫生事件网络用户画像研究”(项目编号:S202110367051)；蚌埠医学院512人才项目“优秀青年教师”(项目编号:by51201311)。 |
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| 中文摘要:介绍基于情感分析的突发公共卫生事件微博评论用户画像构建技术路线,将计算得到的情感倾向度与其用户特征进行相关分析,提出可选取与用户评论情感倾向度具有相关性的性别、年龄、粉丝数、点赞数、简介、标签6个用户特征为内容构建突发公共卫生事件微博评论用户画像。 |
| 中文关键词:网络舆情 情感分析 用户画像 突发公共卫生事件 |
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| User Portrait Construction of Weibo Comments on Public Health Emergencies Based on Sentiment Analysis |
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| Abstract:The paper introduces the technical route of constructing user portraits for Weibo comments on public health emergencies based on sentiment analysis, analyzes the correlation between the calculated sentiment orientation and user characteristics, and proposes that six user characteristics, such as gender, age, number of followers, number of likes, introduction and label, which are related to the emotional tendency of user comments, could be selected as content to construct user portraits of Weibo comments on public health emergencies. |
| keywords:network public opinion sentiment analysis user portrait public health emergency |
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