Estimation of the degree of semantic proximity of words by means of visualization of their vector representation

Бесплатный доступ

Establishing semantic proximity between a set of words is an important task, the solution of which will allow us to advance in a number of areas related to communication and information transfer. To identify the semantic proximity of words, it is proposed to use the visualization of their vector representation with subsequent interpretation. The algorithm of preprocessing the source text to achieve the desired result is described.

Word2vec, embedding, neural network, semantic, semantic proximity, visualization of vectors

Короткий адрес: https://sciup.org/148309066

IDR: 148309066   |   DOI: 10.25586/RNU.V9187.20.01.P.093

Статья научная