[1]汤丽华,吴星宇,徐华健,等.公路交通舆情监测及系统开发[J].南京师范大学学报(工程技术版),2021,21(04):033-39.[doi:10.3969/j.issn.1672-1292.2021.04.006]
　Tang Lihua,Wu Xingyu,Xu Huajian,et al.Monitor and System Development of Road Transportation Public Opinion[J].Journal of Nanjing Normal University(Engineering and Technology),2021,21(04):033-39.[doi:10.3969/j.issn.1672-1292.2021.04.006]
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公路交通舆情监测及系统开发
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
21卷
期数:
2021年04期
页码:
033-39
栏目:
计算机科学与技术
出版日期:
2021-12-15

文章信息/Info

Title:
Monitor and System Development of Road Transportation Public Opinion
文章编号:
1672-1292(2021)04-0033-07
作者:
汤丽华1; 吴星宇2; 徐华健2; 朱燕翔3; 刁业敏4; 吴建盛1
(1.南京邮电大学地理与生物信息学院,江苏 南京 210023)(2.南京邮电大学通信与信息工程学院,江苏 南京 210003)(3.南京仁面集成电路技术有限公司VeriMake实验室,江苏 南京 210088)(4.南京叁角加文化发展中心TP实验室,江苏 南京 210005)
Author(s):
Tang Lihua1; Wu Xingyu2; Xu Huajian2; Zhu Yanxiang3; Diao Yemin4; Wu Jiansheng1
(1.School of Geographic and Biological Information,Nanjing University of Posts and Telecommunications,Nanjing 210023,China)(2.School of Communications and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)(3.VeriMake Research Laboratory,Nanjing Renmian Integrated Circuit Technology Co.,Ltd.,Nanjing 210088,China)(4.TP Laboratory,Nanjing TriangularPlus Culture Development Centre,Nanjing 210005,China)
关键词:
公路交通; 舆情监测; 情感分析; 长短期记忆网络; 监测系统
Keywords:
road transportation; public opinion monitor; sentiment analysis; long short-term memory; monitor system
分类号:
TP181
DOI:
10.3969/j.issn.1672-1292.2021.04.006
文献标志码:
A
摘要:
以江苏省为例,采集了公路交通相关网络文本信息数据,从季度、年度、重大事件3个角度分别进行了舆情监测和分析,梳理了热点舆情的内容及走势变化,并基于长短期记忆网络设计了一种新的公路交通舆情情感分析方法,其准确率、查准率、召回率和AUC值分别达到96.1%、84.2%、88.9%和0.904. 最后构建了一套公路交通舆情监测系统,可以展示公路交通舆情关键词云图,并分析舆情情感倾向,为公路管理部门开展工作提供参考.
Abstract:
This paper presents a case study of Jiangsu Province,whose road transportation related network text data is collected. Firstly,its public opinion is monitored and analyzed from three different perspectives: quarterly,annual and major events,thus the hot public opinion and sentiment tendency can be extracted. Based on the Long Short-Term Memory network,a novel method on road transportation public opinion sentiment analysis is then designed,and it is able to achieve good performance with the accuracy,precision,recall and AUC of 96.1%,84.2%,88.9% and 0.904,respectively. Finally,a road transportation public opinion monitoring system is developed,which can exhibit the WordCloud graph and analyze sentiment tendency of public opinion,thus providing valuable references to the road transportation management department.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-06-24.
基金项目:国家自然科学基金项目(61872198)和江苏省科技厅基础研究计划(自然科学基金)面上项目(BK20201378).
通讯作者:吴建盛,博士,副教授,研究方向:机器学习与生物信息学. E-mail:jansen@njupt.edu.cn
更新日期/Last Update: 2021-12-15