@inproceedings{829e73688eff4a40a3faf3dea7c66f5a,
title = "The Method of Analysis of Data from Social Networks Using Rapidminer",
abstract = "The article is devoted to the analysis of content presented in text form in social networks. Natural language text, in addition to information, can express an emotional assessment of what is being reported. The analysis of the tonality of information flows has great potential for various analytical and monitoring systems. A method is proposed and an analysis of the tonality of information flows for the selected language environment is made. The method allows you to classify the message into positive, negative and neutral.",
keywords = "Analysis, Classification, Content, Data, Information, Method, Social network",
author = "Askar Boranbayev and Gabit Shuitenov and Seilkhan Boranbayev",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; Science and Information Conference, SAI 2020 ; Conference date: 16-07-2020 Through 17-07-2020",
year = "2020",
doi = "10.1007/978-3-030-52246-9\_49",
language = "English",
isbn = "9783030522452",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "667--673",
editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",
booktitle = "Intelligent Computing - Proceedings of the 2020 Computing Conference",
address = "Germany",
}