Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter

Investigación Tecnológica

Autores:
Corzo-Sosa, Daniel Eduardo
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2018
Institución:
Universidad Católica de Colombia
Repositorio:
RIUCaC - Repositorio U. Católica
Idioma:
spa
OAI Identifier:
oai:repository.ucatolica.edu.co:10983/22428
Acceso en línea:
https://hdl.handle.net/10983/22428
Palabra clave:
REDES SOCIALES
ANÁLISIS DE SENTIMIENTOS
AZURE TEXTMINING
DATAMINING
KDD
PLN
POLARIDAD
TWEEPY
TWITTER
Rights
openAccess
License
Derechos Reservados - Universidad Católica de Colombia, 2018
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network_acronym_str UCATOLICA2
network_name_str RIUCaC - Repositorio U. Católica
repository_id_str
dc.title.spa.fl_str_mv Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
title Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
spellingShingle Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
REDES SOCIALES
ANÁLISIS DE SENTIMIENTOS
AZURE TEXTMINING
DATAMINING
KDD
PLN
POLARIDAD
TWEEPY
TWITTER
title_short Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
title_full Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
title_fullStr Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
title_full_unstemmed Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
title_sort Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter
dc.creator.fl_str_mv Corzo-Sosa, Daniel Eduardo
dc.contributor.advisor.spa.fl_str_mv Velandia-Vega, John Alexánder
dc.contributor.author.spa.fl_str_mv Corzo-Sosa, Daniel Eduardo
dc.subject.lemb.spa.fl_str_mv REDES SOCIALES
topic REDES SOCIALES
ANÁLISIS DE SENTIMIENTOS
AZURE TEXTMINING
DATAMINING
KDD
PLN
POLARIDAD
TWEEPY
TWITTER
dc.subject.proposal.spa.fl_str_mv ANÁLISIS DE SENTIMIENTOS
AZURE TEXTMINING
DATAMINING
KDD
PLN
POLARIDAD
TWEEPY
TWITTER
description Investigación Tecnológica
publishDate 2018
dc.date.accessioned.spa.fl_str_mv 2018-12-13T14:58:27Z
dc.date.available.spa.fl_str_mv 2018-12-13T14:58:27Z
dc.date.issued.spa.fl_str_mv 2018
dc.type.spa.fl_str_mv Trabajo de grado - Pregrado
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.citation.spa.fl_str_mv Corzo-Sosa, D. E. (2018). Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería de Sistemas. Bogotá, Colombia
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/10983/22428
identifier_str_mv Corzo-Sosa, D. E. (2018). Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería de Sistemas. Bogotá, Colombia
url https://hdl.handle.net/10983/22428
dc.language.iso.spa.fl_str_mv spa
language spa
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spelling Velandia-Vega, John Alexánder 026768b1-18a3-4ffa-ab01-797fba1e4b87Corzo-Sosa, Daniel Eduardo18dec50f-91ff-4097-b6f3-d417fde02070-12018-12-13T14:58:27Z2018-12-13T14:58:27Z2018Investigación TecnológicaProyecto de investigación tecnológica en el cual se usa twitter como fuente de datos para analizar las reacciones de las personas a publicaciones hechas por los candidatos de las pasadas elecciones presidenciales en Colombia, usando datamining mediante metodología KDD.PregradoIngeniero de SistemasINTRODUCCIÓN 1. GENERALIDADES 2. SELECCIONAR UNA TÉCNICA DE DATAMINING QUE PERMITA MODELAR LOS DATOS RECOPILADOS EN TWITTER 3. DISEÑAR LA ESTRUCTURA DEL MODELO RESPECTO AL RESULTADO DE LA FASE DE ANÁLISIS 4. DESARROLLAR UNA PRUEBA DE CONCEPTO WEB, QUE TENGA EN CUENTA LOS MÓDULOS DEFINIDOS EN LA ESTRUCTURA DEL MODELO 5. EJECUTAR UN CONJUNTO DE PRUEBAS FUNCIONALES QUE PERMITAN EVALUAR LA CALIDAD DE LOS RESULTADOS CALCULADOS POR LA SOLUCIÓN 6. CONCLUSIONES 7. TRABAJOS FUTUROS BIBLIOGRAFÍA ANEXOSapplication/pdfCorzo-Sosa, D. E. (2018). Modelo conceptual para determinar el próximo presidente de estado a través de Datamining y Twitter. Trabajo de Grado. Universidad Católica de Colombia. Facultad de Ingeniería. Programa de Ingeniería de Sistemas. Bogotá, Colombiahttps://hdl.handle.net/10983/22428spaFacultad de IngenieríaIngeniería de Sistemas y Computaciónaaai.org. (1995, 08 20). The first international conference on knowledge discover and data mining. (AAAI) Retrieved from https://aaai.org/Conferences/KDD/kdd95.phpAkhilomen, J. (2013). Data Mining Application for Cyber Credit-Card Fraud Detection System. Retrieved from https://link.springer.com/chapter/10.1007/978-3-642-39736-3_17Alang, N. (2016, Nov 15). Trump Is America’s First Twitter President. Be Afraid. Retrieved from https://newrepublic.com/article/138753/trump-americas-firsttwitter-president-afraidAldrich, J., & Garrod, C. (2013). Principles of Software Construction: Conceptual Modeling in Design. (ISR Institute for software research) Retrieved from Carnegie Mellon University: https://www.cs.cmu.edu/~aldrich/214/slides/conceptual-modeling.pdfAmazon. (2018). Data Warehouse Concepts. Retrieved 10 2018, from Amazon: https://aws.amazon.com/data-warehouse/Andrew Lampitt. (2013, Febrero 14). The real story of how big data analytics helped Obama win. (infoworld) Retrieved from https://www.infoworld.com/article/2613587/big-data/the-real-story-of-howbig-data-analytics-helped-obama-win.htmlArdila, C. (2018). Modelado del Dominio(Modelo conceptual). (Universidad del Cauca) Retrieved from Universidad del Cauca: http://artemisa.unicauca.edu.co/~cardila/IS_04_03__MODELADO_DOMINI O_NV.pdfAUTOR, E. (2018). Tecnicas de Datamining. Recuperado el 01 de 06 de 2018Będkowski, K. (2011, 01 01). Trees crowns segmentation on the basis of a digital surface model obtained from the interpolation of airborne laser scanning data. Retrieved from ResearchGate: https://www.researchgate.net/publication/306374119_Trees_crowns_segme ntation_on_the_basis_of_a_digital_surface_model_obtained_from_the_inter polation_of_airborne_laser_scanning_dataBerzal, F. (2017, 01 01). Clústering Jerárquico. (Universidad de Granada) Retrieved from http://elvex.ugr.es/idbis/dm/slides/42%20Clustering%20%20Hierarchical.pdfBhattacharyya, S. (2011, 02). Data mining for credit card fraud: A comparative study. (ScienceDirect) Retrieved from https://www.sciencedirect.com/science/article/pii/S0167923610001326Bouza, C., & Santiago, A. (2014, 10 21). LA MINERÍA DE DATOS: ARBOLES DE DECISIÓN Y SU APLICACIÓN EN ESTUDIOS MÉDICOS. Retrieved from ResearchGate: https://www.researchgate.net/publication/268516570_LA_MINERIA_DE_DA TOS_ARBOLES_DE_DECISION_Y_SU_APLICACION_EN_ESTUDIOS_M EDICOSClifton, C. (2018, 08 01). Data Mining, Computer Science. (Enciclopedia Britannica) Retrieved from https://www.britannica.com/technology/dataminingCrayonData. (2015, 04 1). What is Clustering in Data Mining? Retrieved from http://bigdata-madesimple.com/what-is-clustering-in-data-mining/Dane. (23 de 11 de 2018). Censo nacional de problacion y vivienda: ¿Cuantos Somos? Recuperado el 23 de 11 de 2018, de DANE: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-ypoblacion/censo-nacional-de-poblacion-y-vivenda-2018/cuantos-somosEarls, J. (2010, Febrero 26). SQL: Query Language for Relational Databases. (Media College) Retrieved from https://www.mediacollege.com/computer/database/sql.htmlFaggella, D. (2017, Sep 2). What is Machine Learning? (Techemergence) Retrieved from https://www.techemergence.com/what-is-machine-learning/Functional testing. (n.d.). (Software Testing Fundamentals) Retrieved from http://softwaretestingfundamentals.com/functional-testing/Gallagher, S. (2012, 11 14). Built to win: Deep inside Obama’s campaign tech. (Ars Technica) Retrieved from https://arstechnica.com/informationtechnology/2012/11/built-to-win-deep-inside-obamas-campaign-tech/Gaur, P. (2012). Neural Networks in Data Mining. (International Journal of Electronics and Computer Science Engineering) Retrieved from International Journal of Electronics and Computer Science Engineering: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.640.136&rep=rep 1&type=pdfGibert, K., Sanchez-Marre, M., & Codina, V. (2014, 05 27). Choosing the Right Data Mining Technique: Classification of Methods and Intelligent Recommendation. Retrieved from ReserachGate: https://www.researchgate.net/publication/228609947_Choosing_the_Right_ Data_Mining_Technique_Classification_of_Methods_and_Intelligent_Reco mmendatioGil, P. (2018, Feb 05). What Is Twitter & How Does It Work? (LifeWire) Retrieved from https://www.lifewire.com/what-exactly-is-twitter-2483331Gupta, P. (2017, 05 17). Decision Trees in Machine Learning. 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