Журнал «Радиотехника» | Издательство РАДИОТЕХНИКА

A.A. Melikhov - Assistant, Department of Intellectual Technologies and Systems (ITS), Moscow Technological University (MIREA). E-mail: megadelphin@mail.ru

Computer modeling of temporal knowledge acquisition for knowledge base development in dynamic integrated expert systems

G.V. Rybina - Dr.Sc. (Eng.), Professor, Department of Cybernetics, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute). E-mail: galina@ailab.mephi.ru S.S. Parondzhanov - Ph.D. (Eng.), Associate Professor, Department of Cybernetics, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute). E-mail: galina@ailab.mephi.ru I.D. Danyakin - Post-graduate Student, Department of Cybernetics, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute). E-mail: galina@ailab.mephi.ru

Automatic question generation based on texts and knowledge graphs

M.A. Belyanova1, G.I. Revunkov2, G.I. Afanasyev3, Yu.E. Gapanyuk4

1-4 Bauman Moscow State Technical University (Moscow, Russia)

1 belyanovama@student.bsmtu.ru; 2 revunkov@bmstu.ru; 3 gaipcs@bmstu.ru; 4 gapyu@bmstu.ru

System of information extraction from text for metagraph knowledge base

V.I. Terekhov – Ph.D. (Eng.), Associate Professor,

Bauman Moscow State Technical University (Moscow, Russia)

E-mail: terekchow@bmstu.ru

A.I. Kanev – Post-graduate Student,

Bauman Moscow State Technical University (Moscow, Russia)

E-mail: kanevai@student.bmstu.ru

Method for automated data processing based on topic modeling

А.А. Ivanov¹, Е.К. Vedernikov², А.А. Smirnov³

1,2 LTD «STC» (St. Petersburg, Russia)

3 Military Telecommunications Academy (St. Petersburg, Russia)

Implementation aspects of neural arithmetic adder

A.V. Demidovskij , E.A. Babkin

1Higher School of Economics (Nizhny Novgorod, Russia)

Two-stage procedure of neural network sentiment analysis for texts in russian

A.S. Volkov1, M.V. Chernenky2, E. Yu. Silantieva3

1,2 Bauman Moscow State Technical University (Moscow, Russia)

Analysis of methods for extracting information from text data

G.S. Ivanova1, P.A. Martynyuk2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

Machine learning for metagraph knowledge base trained on results of text mining

A. I. Kanev – Post-graduate Student, Bauman Moscow State Technical University (Moscow, Russia) E-mail: kanevai@student.bmstu.ru

Modification of the algorithm for identification and categorization of scientific terms through a neural network

V. V. Bakhtin – Post-graduate Student, Department of Automatics and Telemechanics, Perm State National Research University; Design Programmer, “Satellite” LLC (Perm)

E-mail: bakhtin_94@bk.ru

Analysis of neural network language models for solving problems of text data processing

G.S. Ivanova1, P.A. Martynyuk2

1–2 Bauman Moscow State Technical University (Moscow, Russia)

Analysis and synthesis of machine learning models for solving the problem of searching for named entities

B.S. Goryachkin1, R.I. Kim2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

1 bsgor@mail.ru, 2 radmir.kim99@yandex.ru

The impact of text preprocessing methods on the efficiency of machine learning models for employee loyalty analysis

G.N. Zholobova1, E.D. Sinitsyna2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 gnzholobova@fa.ru, 2 221766@edu.fa.ru

Using machine learning to analyze employee loyalty based on textual reviews

G.N. Zholobova1, E.D. Sinitsyna2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 gnzholobova@fa.ru, 2 katya_sinitsyna@mail.ru