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Titlebook: Information Search, Integration and Personalization; International Worksh Yuzuru Tanaka,Nicolas Spyratos,Carlo Meghini Conference proceedin

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楼主: False-Negative
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How to Extract Relevant Knowledge from Tweets?m of 140 characters; noisy data). In this paper, we investigate two different problems. The first one is related to the extraction of representative terms from a set of tweets. More precisely we address the following question: .. The second problem is related to the evolution of tweets over time for
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Weighted Line Graphs for Overlapping Community Discovery and their Evaluationveral communities in real world networks. For undirected connected networks without self-loops, we proposed weighted line graphs based on the weights of the original network, as they do not contain self-loops as in the standard line graph in general graph theory. Overlapping community discovery is a
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