Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource NLP-based Health Care- Hospital Recommendation Systems with Online Text Reviews by Patients Satisfaction Subject The topic of the resource Data Analysis; Natural language Processing; Patient review; polarity; Recommendation; Sentiment Analysis Description An account of the resource Recent times, these recommendations based on reviews play a vital role in the service industry. The hospital is assessing its quality of service using these surveys or studies posted in online forums. The ongoing pandemic also played a vital role in making the online review more popular. These statistical data and visualization are informative in representing the views of patient satisfaction towards health service. As the size of data is large and it is of varied size and format it is difficult to get consolidated results. The users share their emotions and feelings through this review. So, it is a challenge to assess the emotions of the patients. Sentiment analysis using machine learning makes our work easy in evaluating the scores visually. The reviews are analyzed using natural language processing (NLP), and the sentiment of the studies is analysed as positive, negative, and neutral using polarity ranking, which in turn is converted as the recommendation system based on patient reviews. This paper aims to propose a new method of recommending the hospital based on the sentiment of the previous user review. The thought of the user is collected from the various hospitals. The proposed (Healthcare Recommendation System) HRS system has nearly 0.5 mean absolute error, which states that the proposed HRS system is significantly effective. 2023 IEEE. Creator An entity primarily responsible for making the resource Sabarmathi G.; Chinnaiyan R.; Muthulakshmi R. Source A related resource from which the described resource is derived 2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCAMS60113.2023.10525742" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAMS60113.2023.10525742</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194170856&amp;doi=10.1109%2FICCAMS60113.2023.10525742&amp;partnerID=40&amp;md5=e8d0ea79107b435b08a0fe1502f14ba3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194170856&amp;doi=10.1109%2fICCAMS60113.2023.10525742&amp;partnerID=40&amp;md5=e8d0ea79107b435b08a0fe1502f14ba3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031706-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sabarmathi G., CHRIST(Deemed to Be University), School of Business Management, Bengaluru, India; Chinnaiyan R., Alliance University, Department of Cse, Bengaluru, India; Muthulakshmi R., Environmental Engineering, Kec, Andhra Pradesh, India