LOGICAL-ALGORITHMIC PROCESSING OF TEXT INFORMATION IN THE ELECTRONIC GOVERNMENT SYSTEM

Authors

  • AkhramKhasanovichNishanov DSc, Professor, Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizimi, Tashkent, Uzbekistan. External PhD student of Mukhammad Al-Khorezmiy Tashkent University of Information Technologies.
  • SaidrasulovSherzodNorboyo'g'li DSc, Professor, Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizimi, Tashkent, Uzbekistan. External PhD student of Mukhammad Al-Khorezmiy Tashkent University of Information Technologies.
  • BabadjanovElmuradSatimbaevich DSc, Professor, Department of Software of Information Technologies, Tashkent University of Information Technologies named after Muhammad Al-Khwarizimi, Tashkent, Uzbekistan. External PhD student of Mukhammad Al-Khorezmiy Tashkent University of Information Technologies

Keywords:

E-Government, document formalization, keyword database, classification and machine learning, intelligent search method.

Abstract

The article examines the issue of automatic processing of text appeals of individuals and legal entities in the e-government system, proposing a logical mathematical and algorithmic support for the effective use of natural language to provide information services in public administration reform. The study proposes a model of processing text documents, which allows to classify the texts of written appeals of individuals and legal entities in automated systems of government agencies. The algorithm for solving the problem of determining the purpose of natural and legal appeals of individuals and legal entities, as well as the necessary bases for the automatic identification of the organization serving written appeals were expressed mathematically and the mathematical solution of turning appeals into needs and its search was studied.

Downloads

Download data is not yet available.

References

. I1.IO.KO3JIOB. CnocoSbi npeacTaBJiemw TeKCTOBOH HH(j}opMan,HH npn aBTOMaTH3npoBaHHOM py6pnu;HpoBaHHH KOPOTKHX TeKcxoBBix AOKyMeHTOB // Software & Systems. 4 (30) 2017. C.678- 683. DOI: 10.15827/0236-235X.120.678-683.

T.B.EaTypaMeTo;p>i aBTOMaTHuecKoh KjiaccmjmKaijHH TCKCTOB // Software & Systems. 2017. T.30. JVsl. C.85-99. DOI: 10.15827/0236-235X.030.1.085-099.

Nishanov A.Kh., Akbaraliev B.B., Samandarov B.S., Akhmedov O.K., Tajibaev S.K. An algorithm for classification, localization and selection of informative features in the space of politypic data// Webology, Volume 17, No 1, 2020, Pages: 341-364.

A. Kh. Nishanov, O. B. Ruzibaev, J. C. Chedjou, K. Kyamakya, Kolli Abhiram, Perumadura De Silva, G.P. Djurayev and M.A. Khasanova Algorithm for the selection of informative symptoms in the classification of medical data// Proceedings of the 14th International FLINS Conference developments of Artificial Intelligence Technologies in Computation and Robotics». N°12. - P.647-658 (2020). https://doi.org/10T 142/ 9789811223334 _ 0078

Nishanov A.Kh., Saidrasulov Sh.N., Babadjanov E.S., Mamasaidov U.E., Toliev Kh.I. Mathematical Statement of Dynamic Factors Affecting the Development of Electron Government. International Journal of Engineering Research and Technology. 2020, 13(12), p.

-5246.

A.Kh.Nishanov, Akbaraliev B.B., Sh.Kh.Tajibaev. About one feature selection algorithm method in pattern recognition//11 th World Conference “ Intelligent System for Industrial Autamation” (WCIS-2020). -P. 103-112

Nishanov A. Ruzibaev O. Tran N. Modification of decision rules 'ball Apolonia' the problem of classification// 2016 International Conference on Information Science and Communications Technologies, ICISCT 2016 (2016). DOI: 10.1109/ICISCT.2016.7777382.

Downloads

Published

2022-09-30

How to Cite

KhasanovichNishanov, A., SherzodNorboyo’g’li, S., & ElmuradSatimbaevich, B. (2022). LOGICAL-ALGORITHMIC PROCESSING OF TEXT INFORMATION IN THE ELECTRONIC GOVERNMENT SYSTEM. The Journal of Contemporary Issues in Business and Government, 28(3), 256–260. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/2372

Issue

Vol. 28 No. 3 (2022): The journal of contemporary issues in business and government

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.