Topic similarity information retrieval based on information granularity
Wenjing Zhang · Hebei Nongye Daxue xuebao · 2011
Topic similarity computation model is a research hotspot in fields of information retrieval and text classification.From the view of information granularity,it is very clear that similarity computations of topic identification are under different granularity.According to this principal,this paper integrates traditional content topic identification with event topic identification,and presents a new topic similarity computation model,i.e.,first carrying out content identification,secondly event identification.The experiments show that this model can obtain satisfactory classification result.