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
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"
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
Print_ISBN :
978-1-4799-8352-0
Electronic_ISBN :
2327-0594
DOI :
10.1109/ICSESS.2015.7339149