Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users

Franco Riquelme, Jose N. and Ordieres-Meré, Joaquín (2016). Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users. In: "Industriales Research Meeting 2016", 20 abril 2016, Madrid, España. ISBN 978-84-16397-31-0. p. 152.

Description

Title: Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users
Author/s:
  • Franco Riquelme, Jose N.
  • Ordieres-Meré, Joaquín
Item Type: Presentation at Congress or Conference (Poster)
Event Title: Industriales Research Meeting 2016
Event Dates: 20 abril 2016
Event Location: Madrid, España
Title of Book: Industriales Research Meeting 2016
Date: 2016
ISBN: 978-84-16397-31-0
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería de Organización, Administración de Empresas y Estadística
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Sentiment analysis is based on subjectivity research, in other words, determining the feelings of messages from users regarding some topics, products, movies, music, etc. That should be judged in terms to classify the polarity of a document, sentence, or aspect levels.

More information

Item ID: 46089
DC Identifier: http://oa.upm.es/46089/
OAI Identifier: oai:oa.upm.es:46089
Official URL: http://www.industriales.upm.es/investigacion/irm16/index.es.htm
Deposited by: Memoria Investigacion
Deposited on: 26 May 2017 14:44
Last Modified: 23 Apr 2018 07:40
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