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Development of Helpdesk Chatbot for Incident Classification and Resolution using NPL and Deep Learning

  • Universidad Científica del Sur

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Nowadays, most people and companies are more likely to encounter technical problems related to computer equipment. Where the only option for a person to solve their problem is to go to a technical service center, which puts the physical equipment at risk as well as the integrity of the information due to external causes such as theft of information. Making a comparison at the business level, we find companies that are dedicated to offering services and consultancies dedicated to help desks, these services are contracted according to the needs of the company, these services are carried out through a ticket system, where there is no guarantee that the problem will be solved in the shortest time, regardless of the most common processes such as asking questions related to the use and operation of the computer equipment. In this work we developed a Chatbot, trained to be able to help with solutions related to help desk processes, having as a novelty the application of NPL and Deep Learning techniques. The results allow the Chatbot to be integrated as a first-line tool for the use of common users as well as specialized users in information technology areas.

Idioma originalInglés
Título de la publicación alojada3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024 - Proceedings
Páginas785-791
Número de páginas7
ISBN (versión digital)9798331532420
DOI
EstadoPublicada - 2024
Publicado de forma externa
Evento3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024 - Pudukkottai, India
Duración: 4 dic. 20246 dic. 2024

Serie de la publicación

Nombre3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024 - Proceedings

Conferencia

Conferencia3rd International Conference on Automation, Computing and Renewable Systems, ICACRS 2024
País/TerritorioIndia
CiudadPudukkottai
Período4/12/246/12/24

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

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