International Journal of Electrical and Computer Engineering (IJECE) Vol. 9, No. 4, August 2019, pp. 2585~2592 ISSN: 2088-8708, DOI: 10.11591/ijece.v9i4.pp2585-2592  2585 Journal homepage: http://iaescore.com/journals/index.php/IJECE Heart rate encapsulation and response tool using sentiment analysis Prabadevi B. 1 , Nandyala Srujana Reddy 2 , Deepa B. 3 1,2 School of Information Technology and Engineering, Vellore Institute of Technology, India 3 Department of Information Technology, Sri Sairam Institute of Technology, India Article Info ABSTRACT Article history: Received Jun 27, 2017 Revised Mar 4, 2019 Accepted Mar 6, 2019 Users of every system expect it to get better. Providing feedback to the owners of the system was difficult but with the advent of technology, it has become handy. Users can now post their comments through online blogs, android apps and websites. Due to the enormous data piling up every second, it has become a problem in analyzing it. In this paper, sentiment analysis is used for analyzing comments and reviews posted by users. The experiments are done with dynamic and real data. The tools, algorithms and methodology that could fetch accurate results are described. Experimental results indicate 90% of accuracy in proposed system. The review report generated would help the hospital management to identify the positive and negative feedback which further assists them in improving their facilities that could not only create customer satisfaction but also enhanced business processes. Keywords: Comments Feedback Healthcare data NLP NLTK Sentiment analysis Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Prabadevi B., School of Information Technology and Engineering, VIT University, Vellore, Tamil Nadu, India. Email: prabadevi.b@vit.ac.in 1. INTRODUCTION Healthcare industries like hospitals, pharmacies, laboratories, software solutions are growing tremendously which is leading to exponential growth of data. Continuous advancement of all these facilities is necessary as they deal with health of the human. The zones of enhancement are identified through observation, experience and feedback of the users. The word feedback refers to the reaction to a product that would act as a main ingredient in improvement. The technical boom has let the users deliver their feedback at any point in time. Hospitals consider this as an important parameter in providing care [1]. Upsurge in the patients directed to diverse views and insights with respect to clinical amenities. These are carried to the infirmary through android app submissions, mails and websites [2]. Survey reveals that 85% of individuals use websites and blogs to post their comments [3]. There is a wide angle to analyze but it has become difficult as the data is unstructured. Owing to this, an instant action cannot be applied to address the issue and correct the condition. This would result in loss of trust among the users. Manual scrutiny might draw precise results but would require profuse manpower and time. Since health information is sensitive, misusing it could cause drastic effects. Hence the associated data is to be collected in the utmost efficient way that would else result in improper data. The feedback submitted is an expressive statement of the user which aids as a grade sheet for the hospital. The usage of the words is diverse in numerous cases for which the algorithms are intended with many restraints like tense, context, substitutes, adjacent words. Some feedback is sensitive and hence sent through emails. The data is encapsulated so it is not exploited. The response tool proposed in this paper is built to expand the healthcare commercially [4], aesthetically and to increase user satisfaction [5].