Social Media Analytics for Smart Health

被引：36

作者：

Abbasi, Ahmed ^{[1
]}

Adjeroh, Donald ^{[2
]}

机构：

[1] Univ Virginia, McIntire Sch Commerce, Ctr Business Analyt, Charlottesville, VA 22903 USA

[2] W Virginia Univ, Lane Dept Comp Sci & Elect Engn, Morgantown, WV 26506 USA

来源：

IEEE INTELLIGENT SYSTEMS | 2014年 / 29卷 / 02期

基金：

美国国家科学基金会;

关键词：

Media; Drugs; Twitter; Educational institutions; Context; Natural language processing; smart health; natural language processing; NLP; social media; data analytics; intelligent systems;

D O I：

10.1109/MIS.2014.29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This special section of 'Trends & Controversies' focuses on social media analytics for smart health. The introduction, called 'Social Media Analytics for Smart Health,' is provided by Ahmed Abbasi and Donald Adjeroh. Then Mark Dredze and Michael J. Paul have written 'Natural Language Processing for Health and Social Media.' Next, Fatemeh 'Mariam' Zahedi, Huimin Zhao, Nitin Walia, Hemant Jain, Patrick Sanvanson, and Reza Shaker discuss 'Treating Patients Real Avatars in the Virtual Medical Office.' The fourth selection, by Marco D. Huesch, is 'Social Media versus Privacy and Credibility,' The last piece, written by Donald Adjeroh, Richard Beal, Ahmed Abbasi, Wanhong Zheng, Marie Abate, and Arun Ross, is 'Signal Fusion for Social Media Analysis of Adverse Drug Events.' © 2014 IEEE.

引用

页码：60 / 64

页数：5

共 5 条

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Abbasi, Ahmed ;

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Zeng, Daniel ;

Adjeroh, Donald .

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[2] Detecting Fake Medical Web Sites Using Recursive Trust Labeling [J].

Abbasi, Ahmed ;

Zahedi, Fatemeh Mariam ;

Kaza, Siddharth .

ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2012, 30 (04)

[3]

[Anonymous], 2011, J COMPUT SCI-NETH, DOI DOI 10.1016/j.jocs.2010.12.007

[4] Twitter Sentiment Analysis: A Bootstrap Ensemble Framework [J].

Hassan, Ammar ;

Abbasi, Ahmed ;

Zeng, Daniel .

2013 ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM), 2013, :357-364

[5]

Ott M., 2012, P 21 INT C WORLD WID, P201, DOI DOI 10.1145/2187836.2187864

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