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Title:
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Classifying short texts for a Social Media monitoring system
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Author:
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Bel Rafecas, Núria; Diz Pico, Jorge; Marimon, Montserrat; Pocostales Mercè, Joel
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Abstract:
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We present the system for the classification of sentences and short texts into
Marketing Mix classes developed within the LPS-BIGGER project. The system classifies
short texts from Social Media into categories that are considered business indicators to
monitor consumer's opinion. |
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Abstract:
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Presentamos el sistema de clasificación de oraciones y textos cortos en
categorías del Marketing Mix desarrollado en el marco del proyecto LPS-BIGGER. El
sistema clasifica textos cortos de los Social Media en categorías consideradas como
indicadores de negocio para poder monitorizar la opinión de los consumidores. |
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Abstract:
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This work was supported by the Spanish CIEN project LPS-BIGGER cofunded by the MINECO and CDTI (IDI-20141260) and TUNER project TIN2015-65308-C5-5-R (MINECO/FEDER, UE). |
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Subject(s):
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-Marketing
-Text classification
-Business intelligence
-Text analytics
-Marketing
-Clasificación de textos
-Inteligencia de negocios
-Análisis de textos |
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Rights:
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© Sociedad Española para el Procesamiento de Lenguaje Natural
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Document type:
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Article
Article - Published version |
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Published by:
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Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)
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Share:
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