Automated Customer Complaint Processing for Water Utilities Based on Natural Language Processing—Case Study of a Dutch Water Utility

Most water utilities have to handle a substantial number of customer complaints every year. Traditionally, complaints are handled by skilled staff who know how to identify primary issues, classify complaints, find solutions, and communicate with customers. The effort associated with complaint processing is often great, depending on the number of customers served by a water utility. However, the rise of natural language processing (NLP), enabled by deep learning, and especially the use of deep recurrent and convolutional neural networks, has created new opportunities for comprehending and inter... Mehr ...

Verfasser: Xin Tian
Ina Vertommen
Lydia Tsiami
Peter van Thienen
Sotirios Paraskevopoulos
Dokumenttyp: Text
Erscheinungsdatum: 2022
Verlag/Hrsg.: Multidisciplinary Digital Publishing Institute
Schlagwörter: artificial intelligence / customer complaint processing / natural language processing / water sector
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26636432
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.3390/w14040674