Sentiment Analysis of Patients’ Opinions in Healthcare using Lexicon-based Method
V.I.S. Ramya Sri1, Ch. Niharika2, K. Maneesh3, Mohammed Ismail4
1V.I.S. RamyaSri, Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India.
2Ch. Niharika, Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India.
3K. Maneesh, Department of CSE, Koneru Lakshmaiah Education Foundation, A.P, India.
4Dr. Mohammed Ismail, Department of CSE, professor at Koneru Lakshmaiah Education Foundation, A.P, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6977-6981 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2141109119/2019©BEIESP | DOI: 10.35940/ijeat.A2141.109119
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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: The rapid increase in technology made people across the world use social networking sites to express their opinions on a topic, product or service. The success of a healthcare service directly depends on its users. If a majority of users like the service then it is a success otherwise, the service needs to be improvised. For improvising the service, the users’ opinions need to be analyzed. Manually extracting and analyzing the content present on the web is a tedious task. This gave rise to a new research area called Sentiment Analysis. It is otherwise known as opinion mining. It is being used by many health organizations to make effective decisions on their service. This paper presents the sentiment analysis of patients’ opinions on hospitals which is mainly used to improve healthcare service. This is implemented using a lexicon-based methodology to analyze the sentiment.
Keywords: Healthcare, Opinion mining, Patient Opinions, Sentiment Analysis.