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SAS Global Forum 2011 Data Mining and Text Analytics Paper 161-2011 Sentiment Mining Using SAS ® Text Miner®

By Patricia Cerrito

Abstract

In the past, attempts to capture sentiment in studies have used survey questions with Likert scales or qualitative analysis with a very small number of observations. With the use of text analysis provided in SAS Text Miner, it is now possible to use open-ended questions to analyze for sentiment. There are many terms in medical research that have different meanings to different players: patients, physicians, hospitals, payers, and government bureaucracies. With the Affordable Care Act (Obamacare), there will be additional accountability by providers as well as attempts to ration care based upon the definition of the terms, effectiveness, futility, necessary, and reasonable as well as the concept of quality of life. Such attempts are already occurring for the cancer drugs, Avastin and Provenge. Currently, quality of life surveys are based upon one concept developed largely by providers. Quality of life is defined on the basis of functioning only and not upon the basis of social relationships. It is the purpose of this study to examine how open ended questions and SAS Text Miner can be used to investigate how different groups and individuals tend to understand crucial terminology in a practicing discipline and how the term, quality of life, can be better understood

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.3298
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