The Topic Similarity Computation Model Based Information Granularity

Xu Liyong, Dong Yanrong, Na Xu, Caiyan Pei, Liwei Gu, Yan Kang · 2009

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.

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