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Towards a word embedding based approach for semantic indexing

Author(s)
ILYAS GHANIMI University Hassan II, Department of Mathematics and Computer Sciences, Morocco
ELHABIB BENLAHMAR University Hassan II, Department of Mathematics and Computer Sciences, Morocco
ABDERRAHIM TRAGHA University Hassan II, Department of Mathematics and Computer Sciences, Morocco
FADOUA GHANIMI University Hassan II, Department of Mathematics and Computer Sciences, Morocco
Abstract
In this article we present a new approach to semantic indexing of documents using word embedding relaying on representing words as numerical vectors based on the contexts in which they appear. This approach is validated by a set of experiments and a comparison with other approaches. We show that the proposed approach achieves results equivalent or better.
Publication Details
Page(s) 1269-1278
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 8, Year: 2020

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Keywords
word embedding
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