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dc.contributor.author
Aciar, Silvana Vanesa
dc.contributor.author
Ochs, Magalie
dc.date.available
2022-02-18T02:22:52Z
dc.date.issued
2020-08
dc.identifier.citation
Aciar, Silvana Vanesa; Ochs, Magalie; Classifying user experience based on the intention to communicate; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 18; 8; 8-2020; 1337-1344
dc.identifier.uri
http://hdl.handle.net/11336/152245
dc.description.abstract
Experience mining is considered a substantial extension of opinion mining. Experience mining covers the description of all events that are related to the user's perception in the interaction with the object. There is information about the user's experience that cannot be obtained with polarity analysis or sentiment analysis. The information obtained from those analyses is the positive or negative evaluation of a product/service. But in opinion analysis there is more useful information for other users. In this work we propose a method to obtain expressions of user experiences that are difficult to obtain by some of the current methods. The contributions of this work are: 1) Classification of information of user experiences according to the intention of communication: the categories are: "Evaluation", "Sensation" "Recommendation" and Target Users". 2) A rule-based method: rules take into account the lexical classification of words to classify sentences based on communicative intention. The results obtained show that the method based on classification rules can provide useful information about the user experience to other users.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
NATURAL LANGUAGE PROCESSING
dc.subject
OPINION MINING
dc.subject
USER'S EXPERIENCE
dc.subject.classification
Ciencias de la Computación
dc.subject.classification
Ciencias de la Computación e Información
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Classifying user experience based on the intention to communicate
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2022-02-09T14:19:07Z
dc.identifier.eissn
1548-0992
dc.journal.volume
18
dc.journal.number
8
dc.journal.pagination
1337-1344
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva Jersey
dc.description.fil
Fil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan. Facultad de Cs.exactas Físicas y Naturales. Instituto de Informatica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.description.fil
Fil: Ochs, Magalie. Aix-Marseille Université; Francia
dc.journal.title
IEEE Latin America Transactions
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://ieeexplore.ieee.org/document/9111668
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2020.9111668
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