| 基于微博数据的西藏那曲比如县地震舆情分析 |
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| 引用本文： | 刘婉婷,杨新月,刘耀辉,魏本勇,齐文华,孙磊.基于微博数据的西藏那曲比如县地震舆情分析[J].震灾防御技术,2021,16(4):771-780. |
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| 作者姓名： | 刘婉婷 杨新月 刘耀辉 魏本勇 齐文华 孙磊 |
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| 作者单位： | 1.山东建筑大学, 测绘地理信息学院, 济南 250101 |
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| 基金项目： | 山东省自然科学基金项目（ZR2021QD074）；国家自然科学基金项目（42177453）；河北省地震动力学重点实验室开放基金项目（FZ212203）；国家对地观测科学数据中心开放基金项目（NODAOP2020008） |
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| 摘 要： | 震后对网络舆情信息的监控与分析，对于相关部门开展震灾应急救援、掌握救灾动态、稳定民众情绪具有重要意义。本研究基于新浪微博数据，运用网络爬虫技术，获取西藏自治区那曲市比如县6.1级地震震后24小时及震后一周的相关微博及评论；利用Python中文分词组件“jieba”和ROST CM6软件，对数据进行分类、去重、分词等处理，得到结构化的分级、分类数据，并制成震后微博时间序列图、地理分布图、舆情热词词频表、情绪极性统计图等，实现微博舆情数据的可视化。研究结果表明，本次地震事件的微博舆情整体呈现积极情绪，微博活跃程度与当地经济发展程度密切相关。在本次地震舆情传播中，政府部门的舆情引导起到至关重要的作用，舆情传播中的防灾视频传播具有明确的正向引导作用。本研究对于中国西部欠发达少数民族地区的地震舆情分析及引导工作具有借鉴意义。
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| 关 键 词： | 那曲地震 新浪微博 时空特征 情感分析 舆情分析 |
| 收稿时间： | 2021-08-19 |
Public Opinion Analysis of the Earthquake in Biru County,Naqu City,Tibet Based on Webo Data |
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| Liu Wanting,Yang Xinyue,Liu Yaohui,Wei Benyong,Qi Wenhua,Sun Lei.Public Opinion Analysis of the Earthquake in Biru County,Naqu City,Tibet Based on Webo Data[J].Technology for Earthquake Disaster Prevention,2021,16(4):771-780. |
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| Authors: | Liu Wanting Yang Xinyue Liu Yaohui Wei Benyong Qi Wenhua Sun Lei |
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| Abstract: | Monitoring and analyzing the network public opinion information after the earthquake is of great significance for the relevant departments to carry out earthquake emergency rescue, grasp the disaster relief dynamics, and stabilize the public sentiment. Based on the Sina Weibo data, this paper uses web crawler technology to obtain relevant microblogs and comments in 24 hours to and one week after the M6.1 earthquake in Biru County, Naqu City, Tibet; Using the "jieba" Python Chinese word segmentation module and Rost CM6 software to classify, duplicate, and word segmentation the online public opinion data the data are classified, de duplicated, word segmentation and other processing, and the structured grading and classification data are obtained. On this basis, the post-earthquake blog time series map, geographical distribution map, hot word frequency table, and emotional polarity statistical chart are made, and then the visualization of microblog public opinion data is realized. The results show that the public opinion of this earthquake is generally positive. The Weibo activity is closely related to the local economic development. In this earthquake public opinion communication, the public opinion guidance of government departments plays a vital role, and the disaster prevention video in public opinion communication has a clear positive effect. This study is referable for the analysis and guidance of earthquake public opinion in underdeveloped minority areas in Western China. |
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| Keywords: | Naqu earthquake Sina Weibo Spatial-temporal distribution Emotional analysis Network opinion analysis |
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