Topic tracking task is used for public opinion monitoring, and its key technology is text classification algorithm. However, existing text classification algorithms need large-scale train corpus during training, while topic tracking task only provides a ...
Topic tracking is an important task of Topic Detection and Tracking (TDT). Its purpose is to detect stories, from a stream of news, related to known topics. Each topic is "known" by its association with several sample stories that discuss it. In this ...
Topic detection and tracking (TDT) is a hot issue in text processing, which allows people to efficiently access interesting information they need from large amounts of narrative reports, and obtain the cause of a certain event and its subsequent events. ...
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