Abstract: Healthcare is most frequently used by older people and understanding how they feel about the way healthcare administration gives them the attention and support they need, is crucial to building a healthcare system that is effective in meeting their needs. This study determined the seniors' opinions on the healthcare administration by employing SurveyMonkey, a robust online survey tool as an opinion miner. The study used the Orange application, which made data processing simple, to gauge the seniors' opinions toward healthcare administration by analyzing text sentiment using the VADER Sentiment Analysis, which may distinguish between the polarity of positive, negative, or neutral emotions as well as their intensity. Results showed that the majority of seniors (51.1%) had a negative response to healthcare administration, whereas 47.9% had a neutral response and 1.0% had a positive response. Based on the study, the government should enhance its senior citizens’ healthcare services to better satisfy their demands and ensure their happiness. This is clear from the respondents' feedback regarding the services they would like to utilize and how they believe they may be improved. Additionally, the findings provided sufficient information for future consideration to enhance seniors' satisfaction with developmental activities and programs and improve healthcare administration.

Ramona Michelle M. Magtangob and Thelma D. Palaoag. “Assessment of the Healthcare Administration of Senior Citizens from Survey Data using Sentiment Analysis”. International Journal of Advanced Computer Science and Applications (IJACSA) 14.2 (2023). http://dx.doi.org/10.14569/IJACSA.2023.0140247

@article{Magtangob2023,
title = {Assessment of the Healthcare Administration of Senior Citizens from Survey Data using Sentiment Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140247},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140247},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Ramona Michelle M. Magtangob and Thelma D. Palaoag}
}