LIMSI @ MediaEval SED 2014
نویسندگان
چکیده
This paper provides an overview of the Social Event Detection (SED) system developed at LIMSI for the 2014 campaign. Our approach is based on a hierarchical agglomerative clustering that uses textual metadata, user-based knowledge and geographical information. These different sources of knowledge, either used separately or in cascade, reach good results for the full clustering subtask with a normalized mutual information equal to 0.95 and F1 scores greater than 0.82 for our best run.
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