With the dramatically development of Internet, the information processing and management technology onWWW have become a great important branch of data mining and data warehouse. Especially, nowadays, Text Miningis mar...With the dramatically development of Internet, the information processing and management technology onWWW have become a great important branch of data mining and data warehouse. Especially, nowadays, Text Miningis marvelously emerging and plays an important role in interrelated fields. So it is worth summarizing the contentabout text mining from its definition to relational methods and techniques. In this paper, combined to comparativelymature data mining technology, we present the definition of text mining and the multi-stage text mining process mod-el. Moreover, this paper roundly introduces the key areas of text mining and some of the powerful text analysis tech-niques, including: Word Automatic Segmenting, Feature Representation, Feature Extraction, Text Categorization,Text Clustering, Text Summarization, Information Extraction, Pattern Quality Evaluation, etc. These techniquescover the whole process from information preprocessing to knowledge obtaining.展开更多
1.引言大家熟知,所谓“数据丰富但知识缺乏“的现状导致了数据挖掘(Data Mining)技术研究的兴起,数据挖掘又称数据库知识发现(Knowledge Discovery in Databases)是从海量的结构化信息中抽取或挖掘隐含信息和知识的重要方法和途径。数...1.引言大家熟知,所谓“数据丰富但知识缺乏“的现状导致了数据挖掘(Data Mining)技术研究的兴起,数据挖掘又称数据库知识发现(Knowledge Discovery in Databases)是从海量的结构化信息中抽取或挖掘隐含信息和知识的重要方法和途径。数据挖掘技术已相当成熟。因为除了结构化的数据之外,在数字化信息中更多地存在大量自由、非结构化或半结构化的文本信息如新闻文章、电子书本、电子图书馆藏、Web页面内容、Email、文档数据库等,显然手工处理需要花费大量的人力物力,并且具有不确定性。展开更多
文摘With the dramatically development of Internet, the information processing and management technology onWWW have become a great important branch of data mining and data warehouse. Especially, nowadays, Text Miningis marvelously emerging and plays an important role in interrelated fields. So it is worth summarizing the contentabout text mining from its definition to relational methods and techniques. In this paper, combined to comparativelymature data mining technology, we present the definition of text mining and the multi-stage text mining process mod-el. Moreover, this paper roundly introduces the key areas of text mining and some of the powerful text analysis tech-niques, including: Word Automatic Segmenting, Feature Representation, Feature Extraction, Text Categorization,Text Clustering, Text Summarization, Information Extraction, Pattern Quality Evaluation, etc. These techniquescover the whole process from information preprocessing to knowledge obtaining.
文摘1.引言大家熟知,所谓“数据丰富但知识缺乏“的现状导致了数据挖掘(Data Mining)技术研究的兴起,数据挖掘又称数据库知识发现(Knowledge Discovery in Databases)是从海量的结构化信息中抽取或挖掘隐含信息和知识的重要方法和途径。数据挖掘技术已相当成熟。因为除了结构化的数据之外,在数字化信息中更多地存在大量自由、非结构化或半结构化的文本信息如新闻文章、电子书本、电子图书馆藏、Web页面内容、Email、文档数据库等,显然手工处理需要花费大量的人力物力,并且具有不确定性。
