An Analysis of Convolutional Neural Networks for Sentence Classification

Autores
Vieira, João Paulo A.; Moura, Raimundo S.
Año de publicación
2017
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Over the past few years, neural networks have reemerged as powerful machine-learning models, yielding state-ofthe- art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results. This paper show a series of experiments with Convolutional Neural Networks for sentence-level classification tasks with different hyperparameter settings and how sensitive model performance is to changes in these configurations.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Sentiment analysis
Deep neural network.
Procesamiento de Lenguaje Natural
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-sa/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/63206

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spelling An Analysis of Convolutional Neural Networks for Sentence ClassificationVieira, João Paulo A.Moura, Raimundo S.Ciencias InformáticasSentiment analysisDeep neural network.Procesamiento de Lenguaje NaturalOver the past few years, neural networks have reemerged as powerful machine-learning models, yielding state-ofthe- art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results. This paper show a series of experiments with Convolutional Neural Networks for sentence-level classification tasks with different hyperparameter settings and how sensitive model performance is to changes in these configurations.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2017-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/63206enginfo:eu-repo/semantics/altIdentifier/url/http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-05.pdfinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-sa/3.0/Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:08:19Zoai:sedici.unlp.edu.ar:10915/63206Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:08:20.064SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv An Analysis of Convolutional Neural Networks for Sentence Classification
title An Analysis of Convolutional Neural Networks for Sentence Classification
spellingShingle An Analysis of Convolutional Neural Networks for Sentence Classification
Vieira, João Paulo A.
Ciencias Informáticas
Sentiment analysis
Deep neural network.
Procesamiento de Lenguaje Natural
title_short An Analysis of Convolutional Neural Networks for Sentence Classification
title_full An Analysis of Convolutional Neural Networks for Sentence Classification
title_fullStr An Analysis of Convolutional Neural Networks for Sentence Classification
title_full_unstemmed An Analysis of Convolutional Neural Networks for Sentence Classification
title_sort An Analysis of Convolutional Neural Networks for Sentence Classification
dc.creator.none.fl_str_mv Vieira, João Paulo A.
Moura, Raimundo S.
author Vieira, João Paulo A.
author_facet Vieira, João Paulo A.
Moura, Raimundo S.
author_role author
author2 Moura, Raimundo S.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Sentiment analysis
Deep neural network.
Procesamiento de Lenguaje Natural
topic Ciencias Informáticas
Sentiment analysis
Deep neural network.
Procesamiento de Lenguaje Natural
dc.description.none.fl_txt_mv Over the past few years, neural networks have reemerged as powerful machine-learning models, yielding state-ofthe- art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results. This paper show a series of experiments with Convolutional Neural Networks for sentence-level classification tasks with different hyperparameter settings and how sensitive model performance is to changes in these configurations.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description Over the past few years, neural networks have reemerged as powerful machine-learning models, yielding state-ofthe- art results in fields such as image recognition and speech processing. More recently, neural network models started to be applied also to textual natural language signals, again with very promising results. This paper show a series of experiments with Convolutional Neural Networks for sentence-level classification tasks with different hyperparameter settings and how sensitive model performance is to changes in these configurations.
publishDate 2017
dc.date.none.fl_str_mv 2017-09
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