期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：10
页码：26-30
出版社：International Journal of Computer Science and Network Security
摘要：Recently deep learning has proposed several methods used in several domains. Among these domains we found its use in the texts processing, since they have given relevant results at the level of text classification, detection of text similarity and translation detection, that’s why we will use these algorithms in our study. In this paper we will compare the different algorithms used to detect semantics similarity between two given texts. This comparison will give us a global vision to contribute a relevant system that can detect the different types of similarity proposed by a Corpus. In our study we will compare the use of siamese lstm which uses word2vec to have a vector representation of words and siamese lstm which uses doc2vec for the vector representation of sentences to perform the comparison between two texts.
