DocumentCode
3699221
Title
A review on text mining
Author
Yu Zhang;Mengdong Chen;Lianzhong Liu
Author_Institution
School of Computer Science and Engineering, Beihang University, Beijing, China
fYear
2015
Firstpage
681
Lastpage
685
Abstract
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.
Keywords
"Text mining","Association rules","Text categorization","Market research","Knowledge discovery","Feature extraction"
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
ISSN
2327-0586
Print_ISBN
978-1-4799-8352-0
Electronic_ISBN
2327-0594
Type
conf
DOI
10.1109/ICSESS.2015.7339149
Filename
7339149
Link To Document