摘要
文本分类是一种能在海量文本信息资源中快速准确地获取所需信息的机器学习方法。文中阐述了文本分类的发展进程以及文本分类的一般流程,根据不同的文档特征对文本信息资源进行分类并对几种常见的文本分类算法进行了对比分析。
Text categorization is a machine learning method that can obtain the required information quickly and accurately in the mass text information resources. Text categorization＇ s development of the process and the general process of text categorization are discussed in the paper, text information resources are classified according to different characteristics of documents and several common algorithm of text categorization is analyzed in the paper.
作者
张磊
ZHANG Lei （XiangTan University, Xiangtan 411105, China）
出处
《电脑知识与技术》
2016年第12期225-226,232,共3页
Computer Knowledge and Technology
关键词
文本分类
文本内容
情感倾向
分类算法
text categorization
text content
emotional tendency
classification algorithm
