@mastersthesis{design-gsi-mastersthesis-2017,
author = "Aramburu Garc{\'i}a, Pablo",
abstract = "This thesis is the result of a project whose main goal has been to develop and deploy a dashboard showing the information analysis’ results about political domain on Facebook, based on Web Components.

To do so, the first task carried out has been the data extraction. This was developed
on Python language, setting up a pipeline between Facebook, Senpy and Elasticsearch, managed by Luigi. This tool help us to analyse data and store it in Elasticsearch; making viable its access to view it.

Right after the first task and using Sefarad, data has been deployed in widgets which
show statistics estimated from it; helping users to read data quickly and easily on a striking interface.

As a result, this project will allow us to make a Facebook research and analysis, making emphasis on emotions and sentiments that users show through it. This exploration will focus on the main Spanish political parties; but it can be applied to any social subject.",
address = "Universidad Polit{\'e}cnica de Madrid",
institution = "ETSI Telecomunicaci{\'o}n",
keywords = "Senpy;sefarad;sentiment analysis;facebook",
month = "June",
title = "{D}esign and {D}evelopment of a {S}entiment {A}nalysis {S}ystem on {F}acebook from {P}olitical {D}omain",
type = "TFG",
year = "2017",
}