一种基于微博数据的公众环境污染情感指数估算方法
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- 英文论文题名：Estimate of Public Environment-Emotional Index Based on Micro-blog Data
- 论文作者：陈顾远 ; 王超 ; 刘富强 ; 王峰 ; 李顺 ; 黄明祥
- 英文论文作者：Chen Guyuan ; Wang Chao ; Liu FuQiang ; WangFeng ; Li Shun ; Huang MingXiang ; College of Electronics and Information Engineering ; Tongji University ; College of Environmental Science and Engineering ; TongjiUniversity ; Information Center ; Ministry of Environmental Protection
- 年：2016
- 作者机构：同济大学电子与信息工程学院;同济大学环境科学与工程学院;环境保护部信息中心;
- 论文关键词：环境保护 ; 微博数据 ; 公众情感指数 ; 情感分析
- 英文论文关键词：micro-blog data ; environmental protection ; public emotional index ; sentiment analysis
- 会议召开时间：2016-11-24
- 会议录名称：2016全国环境信息技术与应用交流大会暨中国环境科学学会环境信息化分会年会论文集
- 语种：中文
- 分类号：X51;X32
- 学会代码：ZHKX
- 会议名称：2016全国环境信息技术与应用交流大会暨中国环境科学学会环境信息化分会年会
- 会议地点：中国北京
- 主办单位：中国环境科学学会环境信息化分会、《中国环境管理》杂志
- 学会名称：中国环境科学学会环境信息化分会
- 页数：8
- 文件大小：1045k
- 原文格式：O
- 会议级别：全国
摘要
本文提出一种情感指数的估算方法,该指数用于反映群众由于环境污染变化而引起的情绪状态变化。本文综合文本情感分析领域的研究成果以及中文微博情感分析方法,将基于地理位置信息的中文微博通过文本预处理、情感信息提取和情感分类等步骤,对社交网络中的情感信息进行收集,再进行情绪判断,计算情感系数;通过微博文本的地理位置信息选定该位置范围内的空气监测站的数据作为真值,对比该位置范围内的文本信息的情绪指数,通过验证两者的相关性来验证该指数的有效性。该满意指数可以作为一种新的环境管理手段,例如其可以用作空气质量监测分析和预警的参照和依据。
The purpose of this paper is to estimate an index that can reflect public emotions towards environmental status based on micro-blog data.We first analyze the micro-blog data by emotion classification and sentiment analysis techniques to obtain people' s positive/negative emotional level about their surrounding environmental conditions.Afterwards,the correlation between an emotional index and the air quality index(AQI) collected from air monitoring stations is evaluated.Such an emotional index hence can potentially be included in future environmental management solutions,for instance,as feedbacks from public after certain environment protection policies are conducted or as an extra reference for pollution detection.
The purpose of this paper is to estimate an index that can reflect public emotions towards environmental status based on micro-blog data.We first analyze the micro-blog data by emotion classification and sentiment analysis techniques to obtain people' s positive/negative emotional level about their surrounding environmental conditions.Afterwards,the correlation between an emotional index and the air quality index(AQI) collected from air monitoring stations is evaluated.Such an emotional index hence can potentially be included in future environmental management solutions,for instance,as feedbacks from public after certain environment protection policies are conducted or as an extra reference for pollution detection.
引文
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[2]X Wu,X Zhu,G Q Wu et al..Data mining with big data.IEEE Transactions on Knowledge and Data Engineering,2014,26(1):97-107.
[3]M S Dao,K Zettsu.Discovering environmental impacts on public health using heterogeneous big sensory data.2015 IEEE International Congress on Big Data,New York,2015.
[4]B S Raja,A Ali,M Ahmed,et al..Semantics enabled role based sentiment analysis for drug abuse on social media;A framework.2016 IEEE Symposium on Computer Applications&Industrial Electronics(ISCAIE),Penang,Malaysia,2016.
[5]E Aydogan,M A Akcayol.A comprehensive survey for sentiment analysis tasks using machine learning techniques.2016International Symposium on DMnovations in Intelligent SysTems and Applications(DMISTA),Sinaia,Romania,2016.
[6]Z Huaping.(2013)ICTCLAS2013[OL].Available;http://ictclas.nlpir.org/documents.
[7]M N Qureshi,H F H Aldheleai,Y K Tamandani.An improved documents classification technique using association rules mining.2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks(ICRCICN),Kolkata,2015.
[8]A S Tewari,T S Ansari,A G Barman.Opinion based book recommendation using Naive Bayes classifier.Contemporary Computing and Informatics(IC31),2014 International Conference on,Mysore,2014.
[9]W Ray(2015).Snow NLP-Simplified Chinese Text Processing[OL].https://github.com/isnowfy/snownlp.
[10]National Taiwan University.(2007).NTUSD-National Taiwan University Semantic Dictionary[OL].http://nlgl8.csie.ntu.edu.tw:8080/opinion.
[11]M Penza,D Suriano,M G Villani,et al..Towards air quality indices in smart cities by calibrated low-cost sensors applied to networks.IEEE SENSORS 2014 Proceedings,Valencia,2014.
[12]M F El-naggar,A A Shetaya.Wide area angle stability assessment tool based on statistics standard score technique.2016IEEE 16th International Conference on Environment and Electrical Engineering(EEEIC),Florence,2016.
[13]W W Keong,V Iranmanesh.Malaysian automatic number plate recognition system using Pearson correlation.2016 IEEE Symposium on Computer Applications&Industrial Electronics(ISCAIE),Penang,Malaysia,2016.