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. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Roncero, V. G., Costa, M. C. A., & Ebecken, N. F. F. (2008). Using stemming algorithms on a grid environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5336 LNCS, pp. 588–593). https://doi.org/10.1007/978-3-540-92859-1_52
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