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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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Speech and Computer. SPECOM 2017 |
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Tipo de participación
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960 |
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Lugar del congreso
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Hatfield, Reino Unido |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-66429-3 |
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DOI
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10.1007/978-3-319-66429-3_68 |
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Fecha inicio congreso
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12/09/2017 |
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Fecha fin congreso
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16/09/2017 |
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Desde la página
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680 |
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Hasta la página
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689 |
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Título de las actas
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PROCEEDINGS SPECOM 2017: Speech and Computer LNAI |