Day Care Recommendation System in Surabaya Based on Temporal Sentiment Analysis

Abstract Daycare is a place to nurture and educate children outside the home which is expected to temporarily replace the roleof parents in working hours. The existence of daycare requires an Information System application that helps parents to choose the daycare they need. The choice of daycare also requires input from users about how they assess the daycare so that parents have no doubts. From these problems, it requires an application that can analyze comments, inputs and testimonials from users to provide appropriate daycare recommendations. This study aims to build a daycare information system that can provide recommendations to prospective customers through analysis of user comments in online media using the Sentiment Analysis method. Sentiment Analysis is the process of understanding, extracting and processing textual data automatically to get sentiment information contained in an opinion sentence that uses the Text Mining method. Data sources that will be processed in the classification process are data on opinions or comments on online news. The core process is the classification process to determine the highest probability of each category. The result shows that the system can rank the 10 best daycare in Surabaya based on temporal sentiment analysis.