Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings-Reference-Cited by-同舟云学术

Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings

Published:2019-09 Issue:3 Volume:30 Page:1007-1028
ISSN:1047-7047
Container-title:Information Systems Research
language:en
Short-container-title:Information Systems Research

Author:

Abbasi Ahmed¹^ORCID,Li Jingjing¹,Adjeroh Donald²,Abate Marie³,Zheng Wanhong⁴

Affiliation:

1. Information Technology Area and Center for Business Analytics, McIntire School of Commerce, University of Virginia, Charlottesville, Virginia 22904;

2. Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, West Virginia 26506;

3. Center for Drug & Health Information, Department of Clinical Pharmacy, School of Pharmacy, West Virginia University, Morgantown, West Virginia 26506;

4. School of Medicine, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, West Virginia 26505

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems,Management Information Systems

Reference60 articles.

1. Social Media Analytics for Smart Health

2. Text Analytics to Support Sense-Making in Social Media: A Language-Action Perspective

3. Vehicle defect discovery from social media

4. An Integrated Text Analytic Framework for Product Defect Discovery

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