Sentiment Analysis of Healthcare Quality
D. S. Panchal1, S. S. Kawathekar2, S. N. Deshmukh3
1D. S. Panchal*, Department of C. S. and I. T., Dr. B. A. M. U. Aurangabad, India.
2S. S. Kawathekar, Department of C. S. and I. T., Dr. B. A. M. U. Aurangabad, India.
3S. N. Deshmukh, Department of C. S. and I. T., Dr. B. A. M. U. Aurangabad, India.
Manuscript received on December 14, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 3369-3376 | Volume-9 Issue-3, January 2020. | Retrieval Number: L25321081219/2020©BEIESP | DOI: 10.35940/ijitee.L2532.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this work, concentrate on Hospital Service quality provided to patients through hospitals and hospital staff. Services are similar as the Doctor’s reaction to the patients, instrument feature in hospital, area of expertise of Doctors, Compounder and Nurse. The patient expects good services from employees of hospital similar as from Doctor, ward boys, nurses, etc. These employees must take care of the patient’s health, give needful medicine to the patient; the environment of the Hospital must be clean and comfortable for a patient. This paper concentrates on the patient’s feedback about a hospital. We have taken patient’s feedbacks from online website, social websites like Twitter, blogs, and Government healthcare-related website. These feedbacks are the form of comments available on websites. Then we need to analyze the comments, classify these comments as positive, negative and neutral by making use of sentiment analysis technique. Finally, based on results, we can decide which facility is in lower in quality, and recognize hospital which is better for patient’s health improvement.
Keywords: Sentiment, Healthcare, patients, Twitter, Social Media, Hospital, Comments, feedback and Text.
Scope of the Article: Healthcare Informatics