| 融合主题与情感特征的突发事件微博舆情演化分析 |
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| 引用本文： | 安璐,吴林.融合主题与情感特征的突发事件微博舆情演化分析[J].图书情报工作,2017,61(15):120-129. |
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| 作者姓名： | 安璐 吴林 |
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| 作者单位： | 武汉大学信息管理学院 武汉 430072 |
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| 基金项目： | 本文系国家自然科学基金青年项目"突发公共卫生事件社交媒体信息主题演化与影响力建模"（项目编号：71603189）和教育部人文社会科学研究青年基金"突发公共卫生事件情境下社交媒体信息影响力模型与预测研究"（项目编号：16YJC870001）研究成果之一。 |
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| 摘 要： | 目的/意义]微博是突发事件网络舆情传播的重要媒介。面向突发事件的微博主题和情感挖掘对掌握突发事件的网络舆情、识别与预测潜在问题及风险等方面具有重要的实践意义。尝试提出一种融合主题与情感特征的突发事件微博舆情演化分析方法。方法/过程]以寨卡事件为例,通过划分微博舆情演化的生命周期,基于word2vec技术分别提取该事件生命周期各阶段的微博主题,采用基于词典的情感分析方法,引入情感词、表情符号等多情绪源,对不同主题下的评论情感做细粒度划分,并计算情感强度,最终实现微博主题与情感的协同分析。结果/结论]所提出的微博舆情演化分析方法能够揭示面向特定事件的微博在突发事件生命周期各阶段的主题特征、情感类型与强度,剖析网络舆情主题与情感特征的协同演化规律。
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| 关 键 词： | 主题分析 情感分析 word2vec 微博 舆情 突发事件 |
| 收稿时间： | 2017-04-13 |
An Integrated Analysis of Topical and Emotional Evolution of Microblog Public Opinions on Public Emergencies |
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| An Lu,Wu Lin.An Integrated Analysis of Topical and Emotional Evolution of Microblog Public Opinions on Public Emergencies[J].Library and Information Service,2017,61(15):120-129. |
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| Authors: | An Lu Wu Lin |
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| Institution: | School of Information Management, Wuhan University, Wuhan 430072 |
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| Abstract: | Purpose/significance] Microblog is an important medium of communicating public opinions toward public emergencies. Excavating topics and sentiment of microblogs on public emergencies has important practical significance to grasp the online public opinions, and to identify and predict the potential problems and risks during public emergencies. In this study, we propose an approach to analyze the topical and emotional evolution of microblog public opinions on public emergencies. Method/process] The Zika outbreak is taken as an example and the life cycle of related microblog public opinions is divided into several phases. Topics are extracted from microblogs by the word2vec technique. The sentiment analysis has been conducted based on dictionaries containing sentiment words and emoticons to categorize the sentiment of microblogs at a fine-grained level. The emotional intensity of microblogs for each topic is also calculated to achieve synergetic analysis of topics and sentiment of microblogs. Result/conclusion] The proposed method can reveal the topical and emotional features and emotional intensity of microblogs on specific public emergencies and illustrate the synergetic evolution patterns of topics and sentiment of online public opinions. |
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| Keywords: | topical analysis sentiment analysis word2vec microblog public opinion public emergency |
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