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News event modeling and tracking in the social web is the task of discovering which news events individuals in social communities are most interested in, how much discussion these events generate and tracking these discussions over time. The task could provide informative summaries on what has happened in the real world, yield important knowledge on what are the most important events from the crowd's...
We present a new, ontology-based approach to the automatic text categorization. An important and novel aspect of this approach is that our categorization method does not require a training set, which is in contrast to the traditional statistical and probabilistic methods. In the presented method, the ontology, including the domain concepts organized into hierarchies of categories and interconnected...
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