ISJ Theoretical & Applied Science 07(75) 2019

Philadelphia, USA

Kozhevnikov, V. A., & Zhorova, E. V.

The system of thematic and statistical information processing of print and online publications.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-07-75-14

DOI: https://dx.doi.org/10.15863/TAS.2019.07.75.14

Language: Russian

Citation: Kozhevnikov, V. A., & Zhorova, E. V. (2019). The system of thematic and statistical information processing of print and online publications. ISJ Theoretical & Applied Science, 07 (75), 67-78. Soi: http://s-o-i.org/1.1/TAS-07-75-14 Doi: https://dx.doi.org/10.15863/TAS.2019.07.75.14

Pages: 67-78

Published: 30.07.2019

Abstract: The work is devoted to the system of thematic and statistical processing of information of printed and online publications using MongoDB DBMS. The purpose of creating such a system is to increase the efficiency of information and analytical departments of institutions. The overview of existing solutions was conducted. The creation of a thematic and statistical information processing system for print and online publications is described. A description of the subject area and a review of existing information retrieval systems of news arrays are done. The functional requirements for the system are described, the development and testing process is considered.

Key words: Internet publications, information retrieval, keywords, word statistics.