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 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
? Por ejemplo, "... el 50% de los usuarios opinan que el restaurante X es bueno ...".También con estos métodos se puede obtener información más específica sobre el valor que le dan los usuarios a ciertas características de un producto/servicio, por ejemplo "... el servicio de limpieza del hotel no es bueno ...". Este análisis más específico se denomina “análisis de sentimientos”.
? Presenta un método para obtener información de consejos creíbles y relevantes que dan los usuarios en las redes sociales.
? Sin embargo, la clasificación de opiniones sufre algunos problemas. Al analizar ciertas sentencias, estas no pueden sercatalogadas en alguna clase (positiva o negativa) debido a que son opiniones contradictorias o ambiguas.
? Otro problema es la identificación del contexto en el que se emitió la opinión.
? Las restantes fuer on clasificadas por las 3 personas en diferentes categorías.
? Para resolver este problema, estas oraciones fueron clasificadas nuevamente por otras 3 personas para lograr un consenso a través del sistema de votación.
? we propose a method to obtain expressions of user experiences that are difficult to obtain by
? Social media, including social networks, makes it ever more important for companies to ensure their online exposure ties directly to their brand image and messaging.
? Along with television, radio, and print, social media is part of the communications ecosystem that works as a whole to create an enjoyable and seamless consumer experience across multiple channels.
? Likewise, integrated marketing communications is increasingly incorporating social media into the promotional mix to reach consumers on the web and on mobile devices.
? 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
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