Analysis of methods for determining the tonality of text data of a user of social networks
This article discusses methods for analyzing the information space using the "Sentiment Analysis" method. It is noted that an increased interest in tone analysis of information data of social network users began in the 2000s and continues to this day. Sentiment analysis has been studied in the works of both domestic and foreign scientists and studies. The article presents two popular methods for determining the sentiment of a text: unsupervised learning and the statistical method. Examples of each of them are given. An example of data parsing code is considered.