The Topic Similarity Computation Model based Information Granularity

被引：1

作者：

Xu Liyong ^{[1
]}

Dong Yanrong ^{[1
]}

Xu Na ^{[1
]}

Pei Caiyan ^{[1
]}

Gu Liwei ^{[1
]}

Kang Yan ^{[1
]}

机构：

[1] Hebei Normal Univ Sci & Technol, Qinhuangdao 066004, Hebei, Peoples R China

来源：

2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 2, PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/WCSE.2009.21

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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

引用

页码：12 / 15

页数：4

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