SENTIMENT ANALYSIS FOR USER REVIEW POLRI HOSPITAL REGISTRATION APP
Keywords:Sentiment Analysis, Naïve bayes, Opinion mining, NLP, Text Mining
The POLRI Hospital registration application is an application used to register and get health services at the POLRI Hospital. Sentiment analysis research can identify the most common complaints about the app. Additionally, it helps app developers improve user experience and fix issues. as part of the application assessment that has been used. This study uses the Naive Bayes method to collect complaint data from users of the POLRI Hospital registration application. This is done using the Google Play store platform. The results of using a model with 100 test data show that the model can categorize all evaluation data for POLRI Hospital registration applications into classes 29, 68 negative, and 3 neutral. The comparison value between positive, negative and neutral evaluations is 3:6:1. In conclusion, 68% of registration application users feel that the application does not make it easy for them to register patients.