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              <p>In this paper, we present the participation of the Computer Science Laboratory of Avignon (LIA) to RepLab 2013 edition. RepLab is an evaluation campaign for Online Reputation Management Systems. LIA has produced a important number of experiments for every tasks of the campaign: filtering, topic priority detection, Polarity for Reputation and topic detection. Our approaches rely on a large variety of machine learning methods. We have chosen to mainly exploit tweet contents. In several of our experiments we have also added selected metadata. A fewer number of our proposals have integrated external information by using provided links to Wikipedia and users homepage.</p>
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