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Aspect-Based Sentiment Analysis of Online Reviews for Business Intelligence

Aspect-Based Sentiment Analysis of Online Reviews for Business Intelligence

Abha Jain, Ankita Bansal, Siddharth Tomar
Copyright: © 2022 |Volume: 15 |Issue: 3 |Pages: 21
ISSN: 1935-570X|EISSN: 1935-5718|EISBN13: 9781668472927|DOI: 10.4018/IJITSA.307029
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MLA

Jain, Abha, et al. "Aspect-Based Sentiment Analysis of Online Reviews for Business Intelligence." IJITSA vol.15, no.3 2022: pp.1-21. http://doi.org/10.4018/IJITSA.307029

APA

Jain, A., Bansal, A., & Tomar, S. (2022). Aspect-Based Sentiment Analysis of Online Reviews for Business Intelligence. International Journal of Information Technologies and Systems Approach (IJITSA), 15(3), 1-21. http://doi.org/10.4018/IJITSA.307029

Chicago

Jain, Abha, Ankita Bansal, and Siddharth Tomar. "Aspect-Based Sentiment Analysis of Online Reviews for Business Intelligence," International Journal of Information Technologies and Systems Approach (IJITSA) 15, no.3: 1-21. http://doi.org/10.4018/IJITSA.307029

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Abstract

COVID-19 pandemic has affected the patients to a large extent who are in immediate need of medical care. Now-a-days people rely on online reviews shared on review websites to gather information about hospitals like the availability of beds, availability of ventilators etc. However, these reviews are large in number and unstructured which makes it difficult to interpret them. Hence, the authors have proposed a methodology that will apply an aspect based sentiment analysis on the reviews to gain meaningful insights of the hospital based on different aspects like doctor, staff, facilities etc. For the purpose of empirical validation, a total of 26,071 reviews pertaining to 325 hospitals were scrapped. The authors concluded that the study can be useful for patients as it helps them to select the hospital which best suits them. The study also helps hospital administration to improve the current services according to needs of the patients.

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