Design and Implementation of Community Pension Service Quality Evaluation System Based on Clustering Algorithm

The healthy development of community elderly care service is very important. Studying the quality evaluation services and establishing a complete, scientific, objective method can establish online reputation enterprises help users obtain cost-effective services. This important for development. paper puts forward new model service. based on designed, constructed, system developed. From aspects requirement analysis, design, implementation, testing, specific implementation process described. which accords with clustering model: method. AIS-OR mathematical modeling carried out. Under guidance model, secondary indicators are analyzed determined, indicator constructed. We use text mining technology emotion analysis to determine relationship between comment build feature library. naive Bayesian algorithm used classify services, verified by experiments completed design project needs.