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Predictive capabilities of twitter, applied for general elections in Spain based on comments and geolocated users
Citation
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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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 |
