Research Of Text Data Processing Algorithms In Social Networks

In this paper, we investigate various clustering algorithms for a large amount of text data. An analysis of the existing implementation methods was carried out and the algorithms Word2Vec and GloVe were selected. The initial textual data for testing the algorithms were obtained by collecting records from open VKontakte communities. The results showed that the use of these algorithms allows us to assess the frequency of use and the significance of individual words relative to the context of the studied community. The results of the algorithms applications were compared and the conclusion about their efficiency was made in the work as well.