Language neural networks for matching text descriptions of products
Abstract
Language neural networks for matching text descriptions of products
Incoming article date: 04.12.2024The article is devoted to the application of language neural networks for matching text descriptions of products. The analysis of methods for comparing text descriptions of products is carried out, the advantages and disadvantages of each method are noted. The method for matching text descriptions of products, based on Bert neural networks, is considered. Experiments and tests on data sets of text descriptions of similar goods from different retail chains are carried out. Conclusions about the quality of matching various networks of the Bert architecture are made.
Keywords: neural networks, transformers, comparison of text descriptions, text analysis, Bert