概念挖掘
计算机科学
关联规则学习
聚类分析
噪声文本分析
文本挖掘
文本图
知识抽取
情报检索
生物医学文本挖掘
互联网
分类
信息抽取
数据挖掘
文本分类
过程(计算)
透视图(图形)
价值(数学)
数据科学
人工智能
Web挖掘
万维网
机器学习
操作系统
Web服务
作者
Yu Zhang,Mengdong Chen,Lianzhong Liu
标识
DOI:10.1109/icsess.2015.7339149
摘要
Because of large amounts of unstructured text data generated on the Internet, text mining is believed to have high commercial value. Text mining is the process of extracting previously unknown, understandable, potential and practical patterns or knowledge from the collection of text data. This paper introduces the research status of text mining. Then several general models are described to know text mining in the overall perspective. At last we classify text mining work as text categorization, text clustering, association rule extraction and trend analysis according to applications.
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