Application of the BERT Language Model for Sentiment Analysis of Social Network Posts

The paper proposes a new algorithm for formation of training datasets for a neural network that provides sentiment analysis of social network posts. This article also describes the use of a neural network to determine the sentiment values of a social network posts using the word2vec and BERT algorithms. Also conducted experiments confirming the effectiveness of the proposed approaches.