期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：8
页码：1269-1278
出版社：Journal of Theoretical and Applied
摘要：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.
