The Topic Similarity Computation Model Based Information Granularity

Topic similarity computation model is a research hotspot in fields of information retrieval and text classification, etc. From the view of information granularity, 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. Finally, the model is evaluated by experiments.