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Descripción
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| This paper presents a corpus of manually tagged tweets in Spanish language, of interest for marketing purposes. For every Twitter post, tags are provided to describe three di?erent aspects of the text: the emotions, whether it makes a mention to an element of the marketing mix and the position of the tweet author with respect to the purchase funnel. The tags of every Twitter post are related to one single brand, which is also speci?ed for every tweet. The corpus is published as a collection of RDF documents with links to external entities. Details on the used vocabulary and classi?cation criteria are provided, as well as details on the annotation process. | |
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Internacional
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Si |
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Nombre congreso
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EMSASW 2018 Sentic Computing, Sentiment Analysis, Opinion Mining, and Emotion Detection |
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Tipo de participación
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960 |
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Lugar del congreso
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Heraklion, Crete, Greece |
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Revisores
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Si |
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ISBN o ISSN
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1613-0073 |
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DOI
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Fecha inicio congreso
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04/06/2018 |
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Fecha fin congreso
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04/06/2018 |
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Desde la página
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1 |
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Hasta la página
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10 |
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Título de las actas
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Proceedings of EMSASW2018 - 4th Workshop on Sentic Computing, Sentiment Analysis, Opinion Mining, and Emotion Detection Co-located with ESWC 2018 15th European Semantic Web Conference ceur-ws.org/Vol-2111 |