Comparison of different neural networks in sentiment analysis of social media data

The paper describes the results of experiments comparing the use of different architectures of neural networks in the tasks of determining the emotional color of text messages on a social network using two text vectorization algorithms “word2vec” and “BERT”. An indicator of accuracy in determining the emotional color of posts was achieved at 87%.