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作 者:王志刚[1] 邱长波[1] 崔晶 白志鹏 WANG Zhi-gang;QIU Chang-bo;CUI Jing;BAI Zhi-peng(School of Management,Jilin University,Changchun 130022,China)
出 处:《情报科学》2020年第12期158-162,共5页Information Science
摘 要:【目的/意义】本文爬取了"中美贸易战"事件的相关微博,旨在理清事件中不同主题的微博情绪特征与传播力之间的关系,有助于对舆情进行控制和引导。【方法/过程】首先,提取微博数据的主题,对微博进行情绪分类并计算情绪强度,然后,研究各个主题的情绪种类和情绪强度与传播力之间的关系。【结果/结论】研究发现:①对不同主题的情绪占比和情绪强度分析,可以有效的识别出存在潜在风险的主题和情绪。②分析不同主题中高占比高强度的情绪与传播力的关系,可以为制定情绪引导策略提供参考。【Purpose/significance】this paper crawls the microblog related to the "Sino-US trade war" event, aiming to clarify the relationship between the emotional characteristics and communication power of microblogs on different themes in the event, which is helpful to control and guide the public opinion.【Method/process】Firstly, we extract the topic of microblog data, classify the data into different emotion and calculate the emotional intensity, then we study distribution of emotion types,and discuss the relationship between the emotional types and the emotional intensity and the communication power of each topic.【Results/conclusion】The results show that: ①The analysis of the proportion and intensity of emotions of different themes can effectively identify the themes and emotions with potential risks. ②The analysis of the relationship between high proportion and high intensity of emotion and communication power in different themes can provide reference for formulating emotion guidance strategies.
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