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Sentiment Analysis for Health Care

Muhammad Taimoor Khan, Shehzad Khalid

Source Title: International Journal of Privacy and Health Information Management (IJPHIM)3(2)

ISSN: 2155-5621|EISSN: 2155-563X|EISBN13: 9781466679702|DOI: 10.4018/IJPHIM.2015070105

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MLA

Khan, Muhammad Taimoor, and Shehzad Khalid. "Sentiment Analysis for Health Care." IJPHIM vol.3, no.2 2015: pp.78-91. http://doi.org/10.4018/IJPHIM.2015070105

APA

Khan, M. T. & Khalid, S. (2015). Sentiment Analysis for Health Care. International Journal of Privacy and Health Information Management (IJPHIM), 3(2), 78-91. http://doi.org/10.4018/IJPHIM.2015070105

Chicago

Khan, Muhammad Taimoor, and Shehzad Khalid. "Sentiment Analysis for Health Care," International Journal of Privacy and Health Information Management (IJPHIM) 3, no.2: 78-91. http://doi.org/10.4018/IJPHIM.2015070105

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Abstract

Sentiment analysis for health care deals with the diagnosis of health care related problems identified by the patients themselves. It takes the patients opinions into perspective to make policies and modifications that could directly address their problems. Sentiment analysis is used with commercial products to great effect and has outgrown to other application areas. Aspect based analysis of health care, not only recommend the services and treatments but also present their strong features for which they are preferred. Machine learning techniques are used to analyze millions of review documents and conclude them towards an efficient and accurate decision. The supervised techniques have high accuracy but are not extendable to unknown domains while unsupervised techniques have low accuracy. More work is targeted to improve the accuracy of the unsupervised techniques as they are more practical in this time of information flooding.

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Sentiment Analysis for Health Care

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