摘要
随着网络信息的迅猛发展 ,如何快捷、准确地识别和获取有用信息显得更为重要。文本自动分类系统是信息处理的重要研究方向 ,它是指在给定的分类体系下 ,根据文本的内容自动判别文本类别的过程。Boosting算法是一种新兴的机器学习算法。在文本分类中应用 Boosting算法经过试验证明是有效的 。
How to quickly and efficiently discover and acquire useful information is becoming increasingly important for web based information processing. Text categorization, the automated assigning of natural language texts to predefined categories, is a task of current interest in information querying and retrieval. The Boosting algorithm based on machine learning has gained popularity in recent years. The application of this algorithm to text categorization is proved to be effective and outperforms most of other alogrithms in text categorization.
出处
《解放军理工大学学报（自然科学版）》
EI
2003年第2期25-28,共4页
Journal of PLA University of Science and Technology(Natural Science Edition)
