An adaptive topic tracking approach based on Single-Pass clustering with sliding time window

Abstract

Topic Tracking is one hot branch of Topic Detection and Tracking (TDT) research field. Due to the sparseness of initial corpus, the traditional topic tracking methods usually bring topic excursion into the system. The adaptive topic tracking methods are being put forward, but most of them use the fake feedback strategy so that the performance is not… (More)

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