DocumentCode
2214597
Title
Advances in Theories and Applications of Text Mining
Author
Shi, Guoliang ; Kong, Yanqing
Author_Institution
Bus. Sch., Hohai Univ., Nanjing, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
4167
Lastpage
4170
Abstract
Text Mining (TM) is the process of analyzing a semantically rich document or set of documents to understand the content and meaning of the information they contain. The research in Text Mining will enhance human´s ability to process massive quantities of information, and it has high commercial values. Firstly, the paper discusses the introduction of TM and its definition and then gives an overview of the process of text mining and the applications. In the end, it shows the importance of TM in knowledge discovery and highlights the up-coming challenges of document mining and the opportunities it offers.
Keywords
data mining; text analysis; document mining; knowledge discovery; text association analysis; text feature expression; text mining process; Application software; Conference management; Content management; Data mining; Databases; Engineering management; Information science; Natural languages; Statistics; Text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.214
Filename
5454813
Link To Document