An emotion-weather map design based on micro-blog semantics

doi:10.13474/j.cnki.11-2246.2019.0153

Abstract

Abstract:

Emotion-weather map is a special emotional map used to represent emotions of weather. This study proposes a emotion-weather map design based on micro-blog semantic approach.Firstly, we obtain geotaged Sina Micro-blog data from June 20, 2016 to July 10, 2016 in Hefei city by using the program.Secondly, we perform the data cleaning and data standardization by combining emotional word library and the artificial interpretation, and we classify the related emotional micro-blog text data into eight categories and design eight kinds of emotional coloring.Finally, we carry out data analysis by combining GIS grid technology and nuclear density analysis before, during, and after three stages of rainstorm, including diverse dimensional emotional changes of micro-blog users in the three stages of rainstorm weather. This study can provide a reference for relevant government departments to make rescue and decision-making in the process of sudden weather disasters.

Key words: emotion-weather map, micro-blog semantics, nuclear density, GIS grid

CLC Number:

LI Junli, JIANG Hao, HE Zongyi, HE Jinglei, GAN Ruijie. An emotion-weather map design based on micro-blog semantics[J]. 测绘通报, 2019, 0(5): 77-82.

References

[1] 黄仁涛,庞小平,马晨燕.专题地图编制[M].武汉:武汉大学出版社,2003.
[2] CALVO R A, MELLO S D. Affect detection:an interdiscip-linary review of models, methods, and their applications[J].IEEE Transactions on Affective Computing,2010,1(1):18-37.
[3] FUKUHARA T, NISHIDA T. Understanding sentiment of people from news articles:temporal sentiment analysis of social events[C]//Proceedings of the International Conference on Weblogs and Social Meida(ICWSM07). Boulder:[s.n.],2007.
[4] CHUDLEIGH M, JONES R. How to set up and use a Twitter account professionally[J]. Nursing Stand, 2016,31(10):40-43.
[5] SINNENBERG L, BUTTENHEIM A M, PADREZ K,et al. Twitter as a tool for health research:a systematic review[J]. American Journal of Public Health, 2017, 107(1):1-8.
[6] 何宗宜,苗静,彭将,等.结合微博数据挖掘的时空特征分析[J].测绘通报,2015(10):60-64.
[7] 郭义超,樊红.基于中文文本分析的微博情感地图的制作[J]. 计算机系统应用,2017,26(2):25-29.
[8] 孟祥玉,郑新奇.北京地区居民时空行为的大数据分析[J]. 测绘学报,2015,44(S1):1-5.
[9] 谢永俊,彭霞,黄舟,等.基于微博数据的北京市热点区域意象感知[J]. 地理科学进展,2017,36(9):1099-1110.
[10] SADRI A M, HASAN S, UKKUSURI S V, et al.Analyzing social interaction networks from Twitter for planned special events[J]. Social Network Analysis and Mining, 2018,8(1):56.
[11] EARLE P, GUY M, BUCKMASTER R, et al.OMG earthquake! Can Twitter improve earthquake response[J].Seismological Research Letters, 2010,81(2):246-251.
[12] KRYVASHEYEU Y, CHEN H, OBRADOVICH N, et al. Rapid assessment of disaster damage using social media activity[J]. Science Advances, 2016,2(3):e1500779.
[13] YUSUKE H. Behavior analysis using tweet data and geo-tag data in a natural disaster[J]. Transportataion Reasearch Procedia, 2015(11):399-412.
[14] 王艳东,李昊,王腾,等.基于社交媒体的突发事件应急信息挖掘与分析[J].武汉大学学报(信息科学版),2016, 41(3):290-297.
[15] KAZUO M,KIYOHISA T. Development of emotion-weather maps[J]. Procedia Computer Science,2015,60:292-301.
[16] PLUTCHIK R. The nature of emotions[J]. American Scientist, 2001, 89(4):344-350.
[17] SMITH A R. Color gamut transform pairs[J]. Computer Graphics, 1978, 12(3):12-19.
[18] 汤国安,杨昕.ArcGIS地理信息系统空间分析实验教程[M].北京:科学出版社,2006.
[19] 吴秀芹,张洪岩,李瑞改,等.ArcGIS9地理信息系统应用与实践(下册)[M].北京:清华大学出版社,2006.