Enhancing the Relevance of Information Retrieval in Internet Media and Social Networks in Scenario Planning Tasks
Michael Zgurovsky, Andrii Boldak, Dmytro Lande, Kostiantyn Yefremov, Ivan Pyshnograiev, Artem Soboliev, Oleh Dmytrenko
IEEE International Conference on System Analysis & Intelligent Computing.
SAIC 2021: System Analysis & Intelligent Computing.
Studies in Computational Intelligence, vol 1022. Springer, Cham, pp 187-199
DOI: https://doi.org/10.1007/978-3-030-94910-5_10
IEEE International Conference on System Analysis & Intelligent Computing.
SAIC 2021: System Analysis & Intelligent Computing.
Studies in Computational Intelligence, vol 1022. Springer, Cham, pp 187-199
DOI: https://doi.org/10.1007/978-3-030-94910-5_10
The problem of enhancing the relevance of information retrieval in the Internet media and social networks is solved in the paper, given the compliance of search results with the user’s information needs. The mathematical tools technique and algorithms for determining the proximity of message semantics are proposed on basis of the model of message semantics representation in the form of Directed Weighted Network of Terms. A new method of information retrieval of text messages is developed, which provides for the formulation of user’s information needs in the form of text in the natural language. The microservice architecture of the system is offered, in which the specified methods are implemented. The developed system forms part of the analytical and expert environment of the World Data Center for Geoinformatics and Sustainable Development and is used to solve problems of data mining from Internet media and social networks.
Keywords: Internet-media, Social networks, Information retrieval, Text mining, DWNT, Microservices
Keywords: Internet-media, Social networks, Information retrieval, Text mining, DWNT, Microservices
