Vector-based word representations for sentiment analysis: a comparative study

New applications of text categorization methods like opinion mining and sentiment analysis, author profiling and plagiarism detection requires more elaborated and effective document representation models than classical Information Retrieval approaches like the Bag of Words representation. In this co...

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Detalles Bibliográficos
Autores principales: Villegas, María Paula, Garciarena Ucelay, María José, Fernández, Juan Pablo, Álvarez Carmona, Miguel A., Errecalde, Marcelo Luis, Cagnina, Leticia
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2016
Materias:
Ciencias Informáticas
text mining
word-based representations
text categorization
movie reviews
sentiment analysis
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/56763
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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