Development of a monitoring dashboard for sentiment and emotion in geolocated social media

García Castaño, Jorge (2017). Development of a monitoring dashboard for sentiment and emotion in geolocated social media. Proyecto Fin de Carrera / Trabajo Fin de Grado, E.T.S.I. Telecomunicación (UPM), Madrid.

Descripción

Título: Development of a monitoring dashboard for sentiment and emotion in geolocated social media
Autor/es:
  • García Castaño, Jorge
Director/es:
  • Sánchez Rada, Juan Fernando
Tipo de Documento: Proyecto Fin de Carrera/Grado
Grado: Grado en Ingeniería de Tecnologías y Servicios de Telecomunicación
Fecha: 2017
Materias:
Palabras Clave Informales: Sefarad, dashboard, Polymer,WebComponents, Luigi, ElasticSearch, Javascript, Python, Lea et, Twitter, big data, Senpy
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This thesis comes from a project which goal is to design and develop a dashboard with a graphic interface that shows information about the analysis of tweets posted in a geographic zone. The dashboard's main element is a heatmap that shows the value variation of certain sentiment parameters with a color gradient. Furthermore, this map will also clasify emotionally all analyzed data. Besides the map, the dashboard has to be ready to host more elements that may increase its functionality. This project offers two: a list of all tweets being displayed, and a component which allows filtering the dataset by date. All this elements require getting and preparing a large amount of data, which is also covered in this document. Since tweet fetching until dashboard data provision, a batch processing pipeline that makes several transformations to data has been de?ned. This is because it is interesting to simplify the web's workload and imporve user interaction speed. It is worth mentioning that this development has been made following the architecture defined by Sefarad project, mainained by Grupo de Sistemas Inteligentes. Finally, there are more topics included in this document, such as final conclusions, learnt technologies, problems found during it, and possible future lines of work.

Más información

ID de Registro: 48241
Identificador DC: http://oa.upm.es/48241/
Identificador OAI: oai:oa.upm.es:48241
Depositado por: Biblioteca ETSI Telecomunicación
Depositado el: 24 Oct 2017 10:23
Ultima Modificación: 24 Oct 2017 10:23
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