INVESTIGADORES
ACIAR Silvana Vanesa
artículos
Título:
Classifying User Experience based on the Intention to Communicate
Autor/es:
SILVANA ACIAR; MAGALIE OCHS
Revista:
IEEE LATIN AMERICA TRANSACTIONS
Editorial:
IEEE
Referencias:
Año: 2020
ISSN:
1548-0992
Resumen:
Experience mining is considered a substantial extension of opinion mining. Experience mining covers the description of all events that are related to the userĀ“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.