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Using Stemming Algorithms on a Grid Environment.
- Source :
- High Performance Computing for Computational Science - Vecpar 2008; 2008, p588-593, 6p
- Publication Year :
- 2008
-
Abstract
- Stemming algorithms are commonly used in Information Retrieval with the goal of reducing the number of the words which are in the same morpho-logical variant in a common representation. Stemming analysis is one of the tasks of the pre-processing phase on text mining that consumes a lot of time. This study proposes a model of distributed stemming analysis on a grid environment to reduce the stemming processing time; this speeds up the text preparation. This model can be integrated into grid-based text mining tool, helping to improve the overall performance of the text mining process. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540928584
- Database :
- Complementary Index
- Journal :
- High Performance Computing for Computational Science - Vecpar 2008
- Publication Type :
- Book
- Accession number :
- 76832630
- Full Text :
- https://doi.org/10.1007/978-3-540-92859-1_52