Abstract
In this paper, combined with the power business demand, the purpose of this paper is to break the blind area of customers’ demand for electricity, so as to improve the management level of users’ electricity demand, and realize the mining of work order types of hot complaint business. In order to obtain the information behind the complaint work order, the power customer complaint work order is deeply mined. The weight value of keywords is calculated based on TF-IDF algorithm, and the text classifier model is constructed based on SVM classification algorithm. This study aims to provide differentiated service strategies for different types of power customers by controlling the main problems of current power customer complaints, so as to improve customer satisfaction and loyalty.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
