CREATING A CLASSIFIER BASED ON NEURAL NETWORKS

Authors

  • O. Mitina MIREA – Russian Technological University
  • A. Markov MIREA – Russian Technological University

Keywords:

classification task; neural networks.

Abstract

In the modern world, humanity produces a huge amount of textual information, and it is becoming increasingly difficult for people to analyze and filter all this information manually. This problem is faced by users of the site of the unified information system in the field of procurement.

Users of the unified information environment in the field of procurement have to manually view the entire list of purchases to find the necessary ones. Despite the fact that the site provides many different filters, the ability to choose a specific service sector is not available. Automatic text classification can solve this problem.

Author Biographies

O. Mitina , MIREA – Russian Technological University

Candidate of Science

A. Markov , MIREA – Russian Technological University

4nd year student

References

Gudfellou Ya., Bendzhio I., Kurvill A. Glubokoe obuchenie / per. s ang. A.A. Slinkina. – 2e izd., ispr. – M.: DMK Press, 2018. – 652 s.

Sholle F. Glubokoe obuchenie na Python. – SPb.: Piter, 2018. – 400 s.

Nikolenko S., Kadurin A., Arhangelskaya E. Glubokoe obuchenie. – SPb.: Piter, 2018. – 480 s.

Bengfort B., Bilbro R., Oheda T. Prikladnoj analiz tekstovyh dannyh na Python. Mashinnoe obuchenie i sozdanie prilozhenij obrabotki estestvennogo yazyka. – SPb.: Piter, 2019. – 368 s

http://karpathy.github.io [Elektronnyj resurs]. – Rezhim dostupa: http://karpathy.github.io/2015/05/21/rnneffectiveness/ Data dostupa: 30.04.2021.

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Published

2021-06-15

Issue

Vol. 1 No. 67 (2021)

Section

Статьи

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