| 新的关键字提取算法研究 |
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| 引用本文： | 高俊波,栾翠菊,王晓峰.新的关键字提取算法研究[J].计算机工程与设计,2008,29(3):765-767. |
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| 作者姓名： | 高俊波 栾翠菊 王晓峰 |
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| 作者单位： | 上海海事大学,信息工程学院,上海,200135 |
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| 基金项目： | 上海市重点学科建设项目
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上海市教委资助项目 |
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| 摘 要： | 传统的关键字提取算法往往是基于高频词提取的,但文档中的关键字往往并不都是高频词,因此还需要从非高频词集中找出关键字.把一篇文档抽象为一个图:结点表示词语,边表示词语的同现关系;并基于文档的这种拓扑结构,提出了一种新的关键字提取算法,并和传统的关键字提取算法作了比较,在精确率,覆盖率方面均有不错的效果.
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| 关 键 词： | 文本检索 关键字提取 偏向度 聚类 |
| 文章编号： | 1000-7024（2008）03-0765-03 |
| 收稿时间： | 2007-03-07 |
| 修稿时间： | 2007年3月7日 |
New keyword extraction research |
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| GAO Jun-bo,LUAN Cui-ju,WANG Xiao-feng.New keyword extraction research[J].Computer Engineering and Design,2008,29(3):765-767. |
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| Authors: | GAO Jun-bo LUAN Cui-ju WANG Xiao-feng |
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| Abstract: | Most of keyword extraction systems are utilized the high frequency for extracting keywords.Since the keywords of document are often not high-frequency words,we need to find keywords from set of non-high-frequency words.A document can be viewed as a graph: node can represent term and edge can represent the co-occurrence relation between terms.Based on this topology of document,a new keyword extraction algorithm is proposed and the traditional algorithms is compared.The experiment results show that our algorithm gets a certain advantage over the traditional algorithm in precision and coverage. |
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| Keywords: | text search keyword extraction deflection clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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