Fuzzy Cloud Evaluation of Service Quality Based on DP-FastText

• DOI: 10.37394/23205.2021.20.16
• Publication Date: 2021-08-02T09:14:52Z
• Authors: Huanzhuo Ye; Yuan Li
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

This study proposes a service quality evaluation model framework which integrates automatic data acquisition, intelligent processing and real-time analysis with online comment as sources by introducing natural language technology based on management methods to break the traditional idea of over-reliance human resources for evaluation. The is mainly divided into text preparation, fine-grained sentiment fuzzy cloud models. Data preparation module responsible preparing initial data, pre-training classification model. uses obtained from first two modules evaluate quality. By applying catering industry, feasibility proved individuality, efficiency, dynamicity intelligence give it more advantage in practice