Texto completo
Vista Previa |
PDF (Portable Document Format)
- Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (904kB) | Vista Previa |
Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users
Cita
Franco Riquelme, José Nicanor 
ORCID: https://orcid.org/0000-0003-3420-7352 and Ordieres-Meré, Joaquín ORCID: https://orcid.org/0000-0002-9677-6764
(2016).
Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users.
En: "Industriales Research Meeting 2016", 20 abril 2016, Madrid, España. ISBN 978-84-16397-31-0. p. 152.
ORCID: https://orcid.org/0000-0003-3420-7352 and Ordieres-Meré, Joaquín ORCID: https://orcid.org/0000-0002-9677-6764
(2016).
Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users.
En: "Industriales Research Meeting 2016", 20 abril 2016, Madrid, España. ISBN 978-84-16397-31-0. p. 152.
Descripción
| Título: | Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users |
|---|---|
| Autor/es: |
|
| Tipo de Documento: | Ponencia en Congreso o Jornada (Póster) |
| Título del Evento: | Industriales Research Meeting 2016 |
| Fechas del Evento: | 20 abril 2016 |
| Lugar del Evento: | Madrid, España |
| Título del Libro: | Industriales Research Meeting 2016 |
| Fecha: | 2016 |
| ISBN: | 978-84-16397-31-0 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Industriales (UPM) |
| Departamento: | Ingeniería de Organización, Administración de Empresas y Estadística |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 46089 |
|---|---|
| Identificador DC: | https://oa.upm.es/46089/ |
| Identificador OAI: | oai:oa.upm.es:46089 |
| URL Oficial: | http://www.industriales.upm.es/investigacion/irm16... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 26 May 2017 14:44 |
| Ultima Modificación: | 04 Mar 2024 12:54 |
Acciones
- Estadísticas
- Exportar cita
- Editar (sólo personal del Archivo)
