Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks

Author reputation is a very important variable for evaluating web comments. However, there is no formal definition for calculating its value. This paper presents an adaptation of the approach presented by Sousa (2015) for evaluating the importance of comments about products and services available on...

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Detalles Bibliográficos
Autores principales:	Sá, Carlos Augusto de, Moura, Raimundo S.
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2017
Materias:	Ciencias Informáticas author reputation artificial neural networks fuzzy systems
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/63207 http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-06.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-63207
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas author reputation artificial neural networks fuzzy systems
spellingShingle	Ciencias Informáticas author reputation artificial neural networks fuzzy systems Sá, Carlos Augusto de Moura, Raimundo S. Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks
topic_facet	Ciencias Informáticas author reputation artificial neural networks fuzzy systems
description	Author reputation is a very important variable for evaluating web comments. However, there is no formal definition for calculating its value. This paper presents an adaptation of the approach presented by Sousa (2015) for evaluating the importance of comments about products and services available online, emphasizing measures of author reputation. The implemented adaptation consists in defining six measures for authors, used as input in a Multilayer Perceptron Artificial Neural Network. On a preliminary evaluation, the Neural Network presented an accuracy of 91.01% on the author classification process. Additionally, an experiment was conduced aiming to compare both approaches, and the results show that the adapted approach had better performance in classifying the importance of comments.
format	Objeto de conferencia Objeto de conferencia
author	Sá, Carlos Augusto de Moura, Raimundo S.
author_facet	Sá, Carlos Augusto de Moura, Raimundo S.
author_sort	Sá, Carlos Augusto de
title	Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks
title_short	Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks
title_full	Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks
title_fullStr	Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks
title_full_unstemmed	Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks
title_sort	approach to define author reputation in web product reviews using artificial neural networks
publishDate	2017
url	http://sedici.unlp.edu.ar/handle/10915/63207 http://www.clei2017-46jaiio.sadio.org.ar/sites/default/files/Mem/SLMDI/SLMDI-06.pdf
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bdutipo_str	Repositorios
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Approach to define Author Reputation in Web Product Reviews using Artificial Neural Networks

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