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Towards a word embedding based approach for semantic indexing
Author(s):
1. ILYAS GHANIMI: University Hassan II, Department of Mathematics and Computer Sciences, Morocco
2. ELHABIB BENLAHMAR: University Hassan II, Department of Mathematics and Computer Sciences, Morocco
3. ABDERRAHIM TRAGHA: University Hassan II, Department of Mathematics and Computer Sciences, Morocco
4. 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.
Page(s): 1269-1278
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 8, Year: 2020
Keywords:
word embedding
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