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Instruments and Systems: Monitoring, Control, and Diagnostics

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Intelligent System for Filtering Unwanted Information Based on Deep Learning
N.A. VLASYUK, D.YU. KALKOV, M.YU. TOLSTYH

The application of artifi cial intelligence technologies to solve the problem of fi ltering spam messages is considered. The focus is on developing
a system that can automatically classify text data into spam and non-spam using deep learning techniques. The process of preparing and
preprocessing data is described, including cleaning, class balancing, and converting text into a format suitable for training. Analysis of the
results obtained demonstrates high accuracy and efficiency.
Keywords: spam fi ltering, deep learning, text data processing, classifi cation, information security.


DOI: 10.25791/pribor.8.2024.1518

Pp. 30-34.

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