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基于特征概念自动提取系统的研究
引用本文:曾朝晖,邓曙光,陆文彦. 基于特征概念自动提取系统的研究[J]. 湖南城市学院学报(自然科学版), 2006, 15(1): 69-71,74
作者姓名:曾朝晖  邓曙光  陆文彦
作者单位:湖南城市学院,湖南,益阳,413000;中南大学,长沙,410083
基金项目:湖南省高校青年骨干教师培养基金
摘    要:文本分类与文本信息特征概念的提取是当前智能信息服务研究的重点,为自动获取新的特征概念,提出了一种基于特征概念的自动提取系统,该系统包括分词、综合文本词权处理、类别归属和特征概念提取等部分,能有效地从概念上提取文本类特征,提高文本自动分类的准确性.

关 键 词:特征概念  文本分类  特征提取
文章编号:1672-7304(2006)01-0069-03
收稿时间:2005-10-17
修稿时间:2005-10-17

Research of Automatic Extraction System Based on Feature Concept
ZENG Zhao-hui,DENG Shu-guang,LU Wen-yan. Research of Automatic Extraction System Based on Feature Concept[J]. Journal of Hunan City University:Natural Science, 2006, 15(1): 69-71,74
Authors:ZENG Zhao-hui  DENG Shu-guang  LU Wen-yan
Affiliation:1. Hunan City University, Yiyang, Hunan 413000, China; 2. Central South University, Changsha, Hunan 410083, China
Abstract:Text categorization and feature concept extraction is the focal point of basic research in the field of intelligent information service system. An automatic extraction system based on feature concept is proposed on the ground that new feature concept needs to extract automatically. There are some key parts in this system, such as word segmentation, dealing with integrative word weight of text, ascription of category, extraction of feature concept and so on. This system can conduct efficiently text feature extraction thus to nromote the accuracy of automation text categorization.
Keywords:Feature concept   text categorization   feature extraction
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