RESEARCH METHOD OF ANALYZING AND PROCESSING SOCIAL NETWORK DATA IN ORDER TO DETERMINE THE TONALITY

Abstract

A wide spread of social online services and the advancement of Big Data technologies poses
a challenge to utilize data from social media in numerous circles. Nowadays, the «social listening» and
substance examination advances pick up ubiquity in Data Science. The sentiment analysis of the text is one of
the especially important tasks in the fi eld of natural language processing. It is used in diff erent spheres. This
article discusses the main methods of identifying emotions in text data and analyzes the current achievements in
the fi eld of computer analysis of emotions in text data. At the moment, there are many unresolved problems in
the fi eld of automatic text analysis to determine the emotional coloring of the vocabulary in social media texts.