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

中文翻译：

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基于沟通意图的用户体验分类

经验挖掘被认为是意见挖掘的实质性扩展。体验挖掘涵盖了用户在与对象交互中的感知相关的所有事件的描述。存在极性分析或情感分析无法获得的有关用户体验的信息。从这些分析中获得的信息是对产品/服务的正面或负面评价。但在意见分析中，有更多对其他用户有用的信息。在这项工作中，我们提出了一种获得用户体验表达的方法，而这些表达方式目前的某些方法难以获得。这项工作的贡献是： 1）根据传播意图对用户体验信息进行分类：类别是：“评价”、“感觉”“ 推荐”和“目标用户”。2）基于规则的方法：规则考虑单词的词汇分类，根据交际意图对句子进行分类。获得的结果表明，基于分类规则的方法可以向其他用户提供有关用户体验的有用信息