Centro de Documentacion de Fundación MAPFRE - Text mining methods applied to insurance company customer calls : a case study

Notas: Sumario: The purpose of this case study is to develop a process for a U.S. personal lines insurance company to improve its customer service, make call center operations more efficient, and reduce costs by analyzing customer calls. Text mining methods such as topic modeling and sentiment analysis are used to study approximately 10,000 nonclaim customer calls from 2016. Results show the most frequent topics of calls and how customer sentiment differs between topics, which will allow the company to adjust its customer service accordingly.Registros relacionados: En: North American actuarial journal. - Schaumburg : Society of Actuaries, 1997- = ISSN 1092-0277. - 02/03/2020 Tomo 24 Número 1 - 2020 , p. 153-163Materia / lugar / evento: Empresas de seguros Atención al cliente Opinión del cliente Asegurados Casos prácticos Estados Unidos Otros autores: Liao, Xiyue
Chen, Guoqiang
Ku, Ben
Narula, Rahul
Duncan, Janet
Otras clasificaciones: 217

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