Abstract
In the objective of a possible performance improvement of the Arabic information retrieval systems, we propose to introduce the latent semantic analysis method to cure the problems arising from the vector- space model. The present contribution describes how linguistic processing and weighting schemes could improve the LSA method, and the comparison between the vector-space model and LSA approach, which aim to reduce the index term number of an Arabic corpus specialized in the environment field. The results of our experiments show clearly a positive influence of the linguistic processing and weighting schemes, and LSA improvement compared to the vector-space model.
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