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Using Stemming Algorithms on a Grid Environment
[chapter]
2008
Lecture Notes in Computer Science
Preserved Fulltext
Stemming algorithms are commonly used in Information Retrieval with the goal of reducing the number of the words which are in the same morphological 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
doi:10.1007/978-3-540-92859-1_52
fatcat:f2shmlbstfcmffuvvymftakn4e