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Memorias de investigación
Communications at congresses:
Spanish Corpus for Sentiment Analysis Towards Brands
Year:2017
Research Areas
  • Information technology and adata processing
Information
Abstract
Posts published in the social media are a good source of feedback to assess the impact of advertising campaigns. Whereas most of the published corpora of messages in the Sentiment Analysis domain tag posts with polarity labels, this paper presents a corpus in Spanish language where tagging has been made using 8 predefined emotions: lovehate, happiness-sadness, trust-fear, satisfaction-dissatisfaction. In every post, extracted from Twitter, sentiments have been annotated towards each specific brand under study. The corpus is published as a collection of RDF resources with links to external entities. Also a vocabulary describing this emotion classification along with other relevant aspects of customer?s opinion is provided.
International
Si
Congress
Speech and Computer. SPECOM 2017
960
Place
Hatfield, Reino Unido
Reviewers
Si
ISBN/ISSN
978-3-319-66429-3
10.1007/978-3-319-66429-3_68
Start Date
12/09/2017
End Date
16/09/2017
From page
680
To page
689
PROCEEDINGS SPECOM 2017: Speech and Computer LNAI
Participants
  • Autor: Maria Navas Loro (UPM)
  • Autor: Victor Rodriguez Doncel (UPM)
  • Autor: Idafen Santana Perez (UPM)
  • Autor: Alberto Sánchez (Havas Media)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos
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