DocumentCode :
768783
Title :
Mining Text with Pimiento
Author :
Adeva, Juan José García ; Calvo, Rafael
Author_Institution :
Sch. of Electr. & Inf. Eng., Sydney Univ., NSW
Volume :
10
Issue :
4
fYear :
2006
Firstpage :
27
Lastpage :
35
Abstract :
To perform analysis, decision-making, and knowledge management tasks, information systems use an increasing amount of unstructured information in the form of text. This data influx, in turn, has spawned a need to improve the text-mining technologies required for information retrieval, filtering, and classification. This article compares some of the options available. In particular, the authors focus on Pimiento, a new object-oriented application framework that lets developers create distributed applications that use machine-learning and statistical techniques to automatically process documents
Keywords :
classification; data mining; information retrieval; learning (artificial intelligence); object-oriented programming; statistical analysis; text analysis; Pimiento; decision-making; information classification; information retrieval; information systems; knowledge management tasks; machine-learning; object-oriented application framework; text-mining technologies; unstructured information; Application software; Data mining; Humans; Information analysis; Information management; Information retrieval; Performance analysis; Search engines; Software tools; Text mining; catgeorization; clustering; computational linguistics; information extraction; software frameworks; text mining;
fLanguage :
English
Journal_Title :
Internet Computing, IEEE
Publisher :
ieee
ISSN :
1089-7801
Type :
jour
DOI :
10.1109/MIC.2006.85
Filename :
1704753
Link To Document :
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