Propuesta para el mejoramiento de los procesos internos de gestión mediante el análisis del lenguaje natural de publicaciones en la red social “X” de Habi (2020-2023)
Cargando...
Fecha
Director de trabajo de grado
Título de la revista
ISSN de la revista
Título del volumen
Editor
Altmetric
Código QR
Documentos PDF
Descripción
El crecimiento y la continua evolución de las redes sociales ha generado un profundo impacto en la percepción reputacional de las organizaciones. En este contexto dinámico, surge la necesidad de investigar y comprender cómo las acciones y narrativas de las empresas en redes sociales, como “X”, no solo son un medio de promoción y marketing, sino también una forma de modelar las interacciones con los usuarios para la construcción de relaciones más significativas y duraderas con sus audiencias. Además, estas plataformas se presentan como una valiosa fuente para identificar áreas de mejora interna dentro de la empresa. La presente investigación propone una estrategia para optimizar los procesos internos de Habi, centrada en el análisis del lenguaje natural de las publicaciones en la red social "X", el objetivo principal es comprender la percepción de los usuarios, identificar áreas de mejora y descubrir temas frecuentes en los comentarios, empleando técnicas de procesamiento de lenguaje natural (PLN) y modelado de tópicos, donde mediante el análisis de las interacciones en la red social "X", se busca obtener una visión del público hacia Habi, permitiendo una respuesta rápida y efectiva a las necesidades y expectativas de los clientes.
The growth and continuous evolution of social media have profoundly impacted the reputational perception of organizations. In this dynamic context, there is a need to investigate and understand how the actions and narratives of companies on social media, such as "X", not only serve as a means of promotion and marketing but also as a way to shape interactions with users to build more meaningful and lasting relationships with their audiences. Furthermore, these platforms present a valuable source for identifying internal areas for improvement within the company. This research proposes a strategy to optimize Habi's internal processes, focusing on the natural language analysis of posts on the social media platform "X". The main objective is to understand user perception, identify areas for improvement, and uncover frequent topics in comments using natural language processing (NLP) techniques and topic modeling. By analyzing interactions on the social media platform "X", the goal is to gain insights into the public's view of Habi, enabling a quick and effective response to customer needs and expectations.
The growth and continuous evolution of social media have profoundly impacted the reputational perception of organizations. In this dynamic context, there is a need to investigate and understand how the actions and narratives of companies on social media, such as "X", not only serve as a means of promotion and marketing but also as a way to shape interactions with users to build more meaningful and lasting relationships with their audiences. Furthermore, these platforms present a valuable source for identifying internal areas for improvement within the company. This research proposes a strategy to optimize Habi's internal processes, focusing on the natural language analysis of posts on the social media platform "X". The main objective is to understand user perception, identify areas for improvement, and uncover frequent topics in comments using natural language processing (NLP) techniques and topic modeling. By analyzing interactions on the social media platform "X", the goal is to gain insights into the public's view of Habi, enabling a quick and effective response to customer needs and expectations.
Palabras clave
Procesamiento de lenguaje natural, Retroalimentación de usuarios, Adaptación, Satisfacción del cliente, Redes sociales, Demandas de mercado