Classifying User Experience based on the Intention to Communicate

• Published in: Revista IEEE América Latina Vol. 18; no. 8; pp. 1337 - 1344
• Main Authors: Aciar, S., Ochs, M.
• Format: Journal Article
• Language: English
• Published: Los Alamitos IEEE 01.08.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Artificial Intelligence; Classification; Computer Science; Data mining; Evaluation; Human-Computer Interaction; IEEE transactions; Modeling and Simulation; Natural Language processing; Opinion Mining; Sentences; Sentiment analysis; Silicon; User experience; User’s Experience; Water heating; User's experience; Natural language processing; Opinion mining
• ISSN: 1548-0992; 1548-0992
• DOI: 10.1109/TLA.2020.9111668

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