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基于机器学习的文本分类技术研究进展
引用本文:苏金树,张博锋,徐昕.基于机器学习的文本分类技术研究进展[J].软件学报,2006,17(9):1848-1859.
作者姓名:苏金树  张博锋  徐昕
作者单位:1. 国防科学技术大学,计算机学院,湖南,长沙,410073
2. 国防科学技术大学,计算机学院,湖南,长沙,410073;国防科学技术大学,机电工程与自动化学院,湖南,长沙,410073
基金项目:国家自然科学基金;高等学校博士学科点专项科研项目
摘    要:文本自动分类是信息检索与数据挖掘领域的研究热点与核心技术,近年来得到了广泛的关注和快速的发展.提出了基于机器学习的文本分类技术所面临的互联网内容信息处理等复杂应用的挑战,从模型、算法和评测等方面对其研究进展进行综述评论.认为非线性、数据集偏斜、标注瓶颈、多层分类、算法的扩展性及Web页分类等问题是目前文本分类研究的关键问题,并讨论了这些问题可能采取的方法.最后对研究的方向进行了展望.

关 键 词:自动文本分类  机器学习  降维  核方法  未标注集  偏斜数据集  分级分类  大规模文本分类  Web页分类
收稿时间:2005-12-15
修稿时间:4/3/2006 12:00:00 AM

Advances in Machine Learning Based Text Categorization
SU Jin-Shu,ZHANG Bo-Feng and XU Xin.Advances in Machine Learning Based Text Categorization[J].Journal of Software,2006,17(9):1848-1859.
Authors:SU Jin-Shu  ZHANG Bo-Feng and XU Xin
Institution:1.School of Computer, National University of Defense Technology, Changsha 410073, China; 2.School of Mechantronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China
Abstract:In recent years, there have been extensive studies and rapid progresses in automatic text categorization, which is one of the hotspots and key techniques in the information retrieval and data mining field. Highlighting the state-of-art challenging issues and research trends for content information processing of Internet and other complex applications, this paper presents a survey on the up-to-date development in text categorization based on machine learning, including model, algorithm and evaluation. It is pointed out that problems such as nonlinearity, skewed data distribution, labeling bottleneck, hierarchical categorization, scalability of algorithms and categorization of Web pages are the key problems to the study of text categorization. Possible solutions to these problems are also discussed respectively. Finally, some future directions of research are given.
Keywords:automatic text categorization  machine learning  dimensionality reduction  kernel method  unlabeled data set  skewed data set  hierarchical categorization  large-scale text categorization  Web page categorization
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