Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (10): 118-119.
• 数据库、信号与信息处理 • Previous Articles Next Articles
LI Fang,ZHU Qunxiong
Received:
Revised:
Online:
Published:
李 芳,朱群雄
Abstract: This paper studies the characteristics of text data from research journal literature,applies the popular text mining technique into analyzing and processing research literature text data,and proposes research information’s auto-suggestion system.Case study on journal documents is discussed.
Key words: text mining, auto-suggestion, text modeling, clustering
摘要: 研究了科研期刊文献文本数据的特点,将文本挖掘技术用于对科研期刊文本数据的分析和处理中,提出了基于文本挖掘技术的科研信息自动建议系统。结合国内信息领域较有影响的3种期刊2007全年的期刊文章,进行了实例仿真。
关键词: 文本挖掘, 自动建议, 文本建模, 聚类
LI Fang,ZHU Qunxiong. Study on science and research information’s auto-suggestion method based on text mining[J]. Computer Engineering and Applications, 2011, 47(10): 118-119.
李 芳,朱群雄. 文本挖掘技术在科研信息自动建议中的应用[J]. 计算机工程与应用, 2011, 47(10): 118-119.
0 / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: http://cea.ceaj.org/EN/
http://cea.ceaj.org/EN/Y2011/V47/I10/118