SMS Context Visualization Based on Decision Trees
Shinwook Gahng, Jehwan Oh, Eunseok Lee · ASME Press eBooks · 2011
Mobile devices are now widely used. They have changed our communication behavior. In particular, SMS influences our communication behaviors, due to its flexibility. Emoticons are frequently used in SMS. They can be thought of as a method to overcome the communication limitations of text. Several studies have attempted to infer a user's emotion from SMS text. In this paper, we will show that contextual data such as communication logs and location data can be collected and used to improve mobile device functionality. We show such contextual data can be used for inference. We propose Visual SMS to overcome communication limitations using situational information inferred from contextual data by a decision tree. The decision tree created from a predefined training data set. Visual SMS is implemented using the decision tree. We demonstrate its possibilities from Visual SMS simulations.