Fedor Vitalievich Bushmelev

• Master of Technology
• junior researcher at St. Petersburg Federal Research Center of the Russian Academy of Sciences

The paper presents an approach that allows one to obtain a numerical understanding of the emotional state of a social media user based on images published by him. The proposed algorithm is to apply an adapted color selections method to images. The work can be useful for determining and refining the assessments of the security of the user of the inf...

Online social media have become one of the key sources of data about one’s personality due to its availability and popularity. One of the major research questions is how the user personality reveals itself in digital traces. The avatar images and its graphical features are at the focus of the study. The CLIP image encoder was used for feature extra...

Online social media has an increasing influence on people’s lives, providing tools for communication and self–representation. People’s digital traces are gaining attention as a reflection of their personality traits, enhancing the personality computing tasks in various areas. This study aims at the identification of statistical associations between...

Digital traces of the social media users acquire a lot of attention nowadays as they may serve as predictors for various personality traits. The paper refers to the analysis of graphical digital traces, expressed by the user avatars, and aims at quantification of the relationship between its color and semantic characteristics and user’s psychologic...

The problem solved in this article is to predict the expression of personality traits of a user, which can be obtained from the Life Style Index questionnaire, through the analysis of the graphical content published in his social media account. The proposed approach is to identify faces in photos from users’ accounts and use them to assess the expr...

This article is devoted to the technologies of web scraping (web crawling) for Node.js, used in the task of aggregating information and estimating the parameters of cargo routes by extracting data from open sources. The challenge of web scraping occurs in many different contexts, both scientific and industrial. The tasks of web scraping have both w...