Abstract
This paper presents the results of a study on the development of methods for sentiment analysis of images and user posts on social networks, as well as the determination of human emotions based on color preferences and user comments. Analyzing images and user posts will facilitate a psychological analysis of colors and enable us to ascertain an individual's emotional state. The primary objective of developing methods for detecting subjectivity and analyzing moods in social networks is to identify tools capable of extracting subjective information from social platforms, including opinions and moods. These methods aim to create structured and effective data, which will be utilized to inform decision-making, understand individuals' needs, and discern attitudes toward specific events.