title: Specificity of information clustering in application to the problem of messages classification in social media
abstract: Abstract The paper presents research and development materials obtained by a team of authors that co-working at the Department of information technologies and computer systems of Sevastopol state University within the framework of an internal grant “Development of agent-based modeling and big data methods for social media analysis in post-conflict societies (grant №28/06-31)». To perform the task of clustering messages in social media, it is necessary to take into account that not only the power
journal: IOP Conference Series Materials Science and Engineering