Title :
Advances in Theories and Applications of Text Mining
Author :
Shi, Guoliang ; Kong, Yanqing
Author_Institution :
Bus. Sch., Hohai Univ., Nanjing, China
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.214
