Topic Detection and Tracking with a Developed Vector Space Model
Dan Song · Computer Technology and Development · 2006
Topic detection and tracking is an event-based information organization task where online new streams are monitored in order to spot new unreported events and link documents with previously detected events.So present an approach that formalizes temporal expressions and augments spatial terms with ontological information and uses this data in the dictation.In addition,instead using a single term vector as document representation,split the terms into four semantic classes and process,including character,time,space and content,and weigh the classes separately.The approach is motivated by experiment.