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	Detecting and Analyzing Influenza Epidemics with Social Media in China
	Zhang, Fang; Luo, Jun; Li, Chao; Wang, Xin; Zhao, Zhongying
	2014
会议名称	18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014
会议地点	Tainan, Taiwan
英文摘要	In recent years, social media has become important and omnipresent for social network and information sharing. Researchers and scientists have begun to minesocial media data to predict varieties of social, economic, health and entertainment related real-world phenomena. In this paper, we exhibit how social media data can be used to detect and analyze real-world phenomena with several data mining techniques. Specifically, we use posts from TencentWeibo to detect influenzaand analyze influenza trends. We build a support vector machine (SVM) based classifier to classify influenza posts. In addition, we use association rule mining to extract strongly associated features as additional features of posts to overcome the limitation of 140 words for posts. We also use sentimental analysis to classify the reposts without feature and uncommented reposts. The experimental results show that by combining those techniques, we can improve the precision and recall by at least ten percent. Finally, we analyze the spatial and temporal patterns for positive influenza posts and tell when and where influenza epidemic is more likely to occur. © 2014 Springer International Publishing.(21 refs)
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/6030]
专题	深圳先进技术研究院_数字所
作者单位	2014
推荐引用方式 GB/T 7714	Zhang, Fang,Luo, Jun,Li, Chao,et al. Detecting and Analyzing Influenza Epidemics with Social Media in China[C]. 见:18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014. Tainan, Taiwan.

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