DocumentCode :
2501646
Title :
Text analysis and knowledge mining
Author :
Nasukawa, Tetsuya
Author_Institution :
Tokyo Res. Laboratoy, IBM Res., Yamato, Japan
fYear :
2009
fDate :
20-22 Oct. 2009
Firstpage :
1
Lastpage :
2
Abstract :
As the use of IT systems expands, growing amounts of textual data are being generated, stored, and searched. This trend is widely believed to be causing information overload. Although the increase of accessible data is intended to increase our knowledge and yield insights for better actions, the data glut is making it hard to find meaning. Natural Language Processing (NLP) is a key technology to exploit text data, so applications for NLP are increasing rapidly. Such applications often exploit text mining, but they involve a broad range of NLP technologies as the applications develop. This new trend is generating new demands for NLP that require more research.
Keywords :
data mining; natural language processing; text analysis; IT system; data glut; knowledge mining; natural language processing; text analysis; Application software; Automatic speech recognition; Data analysis; Data mining; Information analysis; Internet; Natural language processing; Speech analysis; Text analysis; User-generated content;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Language Processing, 2009. SNLP '09. Eighth International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-4138-9
Electronic_ISBN :
978-1-4244-4139-6
Type :
conf
DOI :
10.1109/SNLP.2009.5340951
Filename :
5340951
Link To Document :
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