How Social Media Will Change Public Health

被引：124

作者：

Dredze, Mark ^{[1
]}

机构：

[1] Johns Hopkins Univ, Human Language Technol Ctr Excellence, Baltimore, MD 21218 USA

来源：

IEEE INTELLIGENT SYSTEMS | 2012年 / 27卷 / 04期

关键词：

health; machine learning; natural language processing; social media; twitter;

D O I：

10.1109/MIS.2012.76

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recent work in machine learning and natural language processing has studied the health content of tweets and demonstrated the potential for extracting useful public health information from their aggrega-tion. This article examines the types of health topics discussed on Twitter, and how tweets can both augment existing public health capabilities and enable new ones. The author also discusses key chal-lenges that researchers must address to deliver high-quality tools to the public health community. © 2012 IEEE.

引用

页码：81 / 84

页数：4

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