UAM's Participation at CLEF eRisk 2017 task: Towards Modelling Depressed Blogers
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چکیده
In this paper we describe the participation of the Language and Reasoning Research Group of UAM Cuajimalpa at eRisk 2017 pilot task: Early Risk Prediction on the Internet. The goal of the eRisk task consists in detecting with enough anticipation cases of depression on texts. For evaluating this task, organizers provided a dataset containing comments from a set of Social Media users. All comments are chronologically ordered and represent writings from depressed and non-depressed users. Our proposed approach addressed this problem by means of graph models. This type of representation allows to capture some inherent characteristics from documents that can be determined though traditional graph measurements, and then, employed as features in a supervised classification system. Obtained results indicate that more experiments, as well as a more thorough analysis is required to conclude regarding the pertinence (or not) of our proposed strategy.
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تاریخ انتشار 2017