Abstract—

Psychometric analysis of information from the Internet is one of the fastest growing trends in modern research. Using social networks, one can identify psychological characteristics and mental disorders. In this paper, we solve the problem of identifying personal traits, that is, predictors of depression among users of the VKontakte social network by analyzing the images they publish. We describe our methods and approaches for solving this problem and present the results of experimental verification on Vkontakte data. Our study shows that one can use object detection methods to create effective features for predicting personality traits.

中文翻译：

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从Vkontakte Images预测个人特征

摘要—

对互联网信息的心理计量分析是现代研究中发展最快的趋势之一。使用社交网络，可以识别心理特征和精神障碍。在本文中，我们通过分析他们发布的图像来解决识别个人特征（即，VKontakte社交网络用户中抑郁症的预测指标）的问题。我们描述了解决此问题的方法和方法，并介绍了对Vkontakte数据进行实验验证的结果。我们的研究表明，可以使用物体检测方法来创建有效的特征来预测人格特质。