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Social micro-blogging networks such as Twitter provide an enormous amount of information, and their automated and unsupervised analysis constitutes an exciting research challenge in Artificial Intelligence. This work presents a novel methodology, based on a semantic clustering of the set of hashtags, which permits to obtain automatically the topics associated to a given set of tweets. A case study on the field of Oncology shows how the main topics of interest are successfully discovered.
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