Classifying User Experience based on the Intention to Communicate

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 the opinion there is more useful information for other users. The phrases such as: “We went with my husband…” , “The noise did not let us sleep” are more useful for third parties. This information is precisely what other users are looking for when making a decision. 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