English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/197313
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Title

On argument bundles in the Web of Experiences

AuthorsFerrer, Xavier ; Plaza, Enric
KeywordsWeb of Experiences
Sentiment analysis
Arguments
Aspect extraction
Basic level concepts
Issue Date12-Jul-2017
PublisherIOS Press
CitationAI Communications 30(3-4): 235-249 (2017)
AbstractIn this paper we focus on a particular interesting type of web user-generated content: people’s experiences. We extend our previous work on aspect extraction and sentiment analysis and propose a novel approach to creating a vocabulary of basic level concepts with the appropriate granularity to characterize a set of products. This concept vocabulary is created by analyzing the usage of the aspects over a set of reviews, and allows us to find those features with a clear positive and negative polarity to create the bundles of arguments. The argument bundles allow us to define a concept-wise satisfaction degree of a user query over a set of bundles using the notion of fuzzy implication, allowing the reuse of experiences of other people to the needs a specific user.
Publisher version (URL)http://dx.doi.org/10.3233/AIC-170736
URIhttp://hdl.handle.net/10261/197313
DOI10.3233/AIC-170736
ISSN0921-7126
Appears in Collections:(IIIA) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,35 kBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.