Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning

Ilustraciones, gráficos

Autores:
Mejía Rodríguez, Daniel Santiago
Tipo de recurso:
Fecha de publicación:
2024
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/86224
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/86224
https://repositorio.unal.edu.co/
Palabra clave:
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación
000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación
Aprendizaje automático (Inteligencia artificial)
Inteligencia artificial
Aplicaciones analíticas
Procesamiento de datos en línea
Investigación cualitativa
Chat GPT
Análisis de sentimientos
Resumen de texto
Tiendas de aplicaciones
Chat GPT
Machine Learning
Sentiment analysis
Text summarization
Application Stores
Rights
openAccess
License
Reconocimiento 4.0 Internacional
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repository_id_str
dc.title.spa.fl_str_mv Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
dc.title.translated.eng.fl_str_mv A method for summarizing and classifying reviews from application stores (iOS and Android) about the Claro app using machine learning techniques
title Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
spellingShingle Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación
000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación
Aprendizaje automático (Inteligencia artificial)
Inteligencia artificial
Aplicaciones analíticas
Procesamiento de datos en línea
Investigación cualitativa
Chat GPT
Análisis de sentimientos
Resumen de texto
Tiendas de aplicaciones
Chat GPT
Machine Learning
Sentiment analysis
Text summarization
Application Stores
title_short Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
title_full Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
title_fullStr Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
title_full_unstemmed Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
title_sort Un método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learning
dc.creator.fl_str_mv Mejía Rodríguez, Daniel Santiago
dc.contributor.advisor.none.fl_str_mv Espinosa Bedoya, Albeiro
dc.contributor.author.none.fl_str_mv Mejía Rodríguez, Daniel Santiago
dc.contributor.researchgroup.spa.fl_str_mv Calidad de Software
dc.contributor.orcid.spa.fl_str_mv Mejia Rodriguez, Daniel Santiago [0000-0002-0350-2941]
dc.subject.ddc.spa.fl_str_mv 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación
000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación
topic 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores
000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación
000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computación
Aprendizaje automático (Inteligencia artificial)
Inteligencia artificial
Aplicaciones analíticas
Procesamiento de datos en línea
Investigación cualitativa
Chat GPT
Análisis de sentimientos
Resumen de texto
Tiendas de aplicaciones
Chat GPT
Machine Learning
Sentiment analysis
Text summarization
Application Stores
dc.subject.lemb.none.fl_str_mv Aprendizaje automático (Inteligencia artificial)
Inteligencia artificial
Aplicaciones analíticas
Procesamiento de datos en línea
Investigación cualitativa
dc.subject.proposal.spa.fl_str_mv Chat GPT
Análisis de sentimientos
Resumen de texto
Tiendas de aplicaciones
dc.subject.proposal.eng.fl_str_mv Chat GPT
Machine Learning
Sentiment analysis
Text summarization
Application Stores
description Ilustraciones, gráficos
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-06-11T16:58:58Z
dc.date.available.none.fl_str_mv 2024-06-11T16:58:58Z
dc.date.issued.none.fl_str_mv 2024-01-26
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
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status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/86224
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/86224
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.indexed.spa.fl_str_mv LaReferencia
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dc.format.extent.spa.fl_str_mv 57 páginas
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dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv Medellín - Minas - Maestría en Ingeniería - Analítica
dc.publisher.faculty.spa.fl_str_mv Facultad de Minas
dc.publisher.place.spa.fl_str_mv Medellín, Colombia
dc.publisher.branch.spa.fl_str_mv Universidad Nacional de Colombia - Sede Medellín
institution Universidad Nacional de Colombia
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spelling Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Espinosa Bedoya, Albeiro749aa8775c497b18160b8a0a5d502335Mejía Rodríguez, Daniel Santiago515e09cdacb964843faba81779b38daeCalidad de SoftwareMejia Rodriguez, Daniel Santiago [0000-0002-0350-2941]2024-06-11T16:58:58Z2024-06-11T16:58:58Z2024-01-26https://repositorio.unal.edu.co/handle/unal/86224Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/Ilustraciones, gráficosEn los últimos años, el análisis cualitativo de texto ha adquirido una importancia significativa, especialmente con el auge de técnicas de machine learning, en particular, el aprendizaje profundo. Este crecimiento se ha visto impulsado por la capacidad de procesamiento en tarjetas gráficas. Una fuente valiosa de información gratuita para este análisis son los comentarios de tiendas de aplicaciones, donde los usuarios comparten sus opiniones sobre aplicaciones y marcas. Sin embargo, estos comentarios presentan un desafío debido a su estructura poco compleja, lo que dificulta el rendimiento de algoritmos simples de aprendizaje automático. En este estudio, se abordó este desafío al buscar una forma simple pero confiable de extraer información de los comentarios en las tiendas de aplicaciones de Google y Mac, específicamente sobre la aplicación de Claro. El objetivo era obtener un resumen para cada comentario, identificando la idea central (como quejas de facturación) y el sentimiento expresado (positivo, negativo o neutro). Para lograr esto, se llevó a cabo una revisión sistemática de la literatura para identificar las mejores técnicas de resumen y análisis de sentimientos en comentarios. Se seleccionó Chat GPT como una alternativa viable y se implementó un código en Python que integraba funciones de resumen y análisis de sentimientos utilizando la API de Open AI y la versión Chat GPT 3.5 Turbo. Los resultados demostraron que esta alternativa es una herramienta eficaz, logrando una precisión del 96.00% en el resumen de texto y un 93.80% de exactitud en el análisis de sentimientos. Esto posiciona esta solución al mismo nivel que otras opciones reportadas, pero con ventajas significativas en términos de requisitos computacionales y mantenimiento. Esta primera iteración del estudio abre la posibilidad de explorar otras herramientas de grandes modelos de lenguaje (LLM) y evaluar su desempeño en tareas de análisis cuantitativo de la información contenida en los comentarios de las tiendas de aplicaciones. (Tomado de la fuente)In recent years, qualitative text analysis has achieved a significant importance, particularly with the rise of machine learning techniques, especially deep learning. This growth has been driven by the processing capabilities of graphics cards. A valuable source of free information for this analysis is application store comments, where users share their opinions on applications and brands. However, these comments pose a challenge due to their uncomplicated structure, making it difficult for simple machine learning algorithms to perform well. In this study, this challenge was addressed by seeking a simple yet reliable way to extract information from comments on Google and Mac application stores, specifically regarding the Claro application. The goal was to obtain a summary for each comment, identifying the central idea (such as billing complaints) and the expressed sentiment (positive, negative, or neutral). To achieve this, a systematic literature review was conducted to identify the best techniques for summarizing and analyzing sentiments in comments. Chat GPT was selected as a viable alternative, and a Python code was implemented that integrated functions for summarizing and sentiment analysis using the OpenAI API and Chat GPT 3.5 Turbo version. The results demonstrated that this alternative is an effective tool, achieving a 96.00% accuracy in text summarization and a 93.80% accuracy in sentiment analysis. This positions this solution at the same level as other reported options but with significant advantages in terms of computational requirements and maintenance. This first iteration of the study opens the possibility to explore other large language model (LLM) tools and evaluate their performance in quantitative analysis tasks of information contained in application store comments.MaestríaMagíster en Ingeniería - AnalíticaIngeniería De Sistemas E Informática.Sede Medellín57 páginasapplication/pdfspaUniversidad Nacional de ColombiaMedellín - Minas - Maestría en Ingeniería - AnalíticaFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores000 - Ciencias de la computación, información y obras generales::005 - Programación, programas, datos de computación000 - Ciencias de la computación, información y obras generales::006 - Métodos especiales de computaciónAprendizaje automático (Inteligencia artificial)Inteligencia artificialAplicaciones analíticasProcesamiento de datos en líneaInvestigación cualitativaChat GPTAnálisis de sentimientosResumen de textoTiendas de aplicacionesChat GPTMachine LearningSentiment analysisText summarizationApplication StoresUn método para resumen y clasificación de comentarios de tiendas de aplicaciones (IOs y Android) sobre Claro APP empleando técnicas de machine learningA method for summarizing and classifying reviews from application stores (iOS and Android) about the Claro app using machine learning techniquesTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMLaReferenciaAfsharizadeh, M., Ebrahimpour-Komleh, H., & Bagheri, A. 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Automatic Text Summarization Methods: A Comprehensive Review. arXiv preprint arXiv:2204.01849EstudiantesInvestigadoresPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/86224/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1040754672.2024.pdf1040754672.2024.pdfTesis de Maestría en Ingeniería - Analíticaapplication/pdf852503https://repositorio.unal.edu.co/bitstream/unal/86224/2/1040754672.2024.pdf493ffd60ef2172163144b0fb3dc5a289MD52unal/86224oai:repositorio.unal.edu.co:unal/862242024-06-11 11:59:00.328Repositorio Institucional Universidad Nacional de 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