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Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back
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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Выставки по автоматизации и электронике «ПТА-Урал 2018» и «Электроника-Урал 2018» состоятся в Екатеринбурге Открыта электронная регистрация на выставку Дефектоскопия / NDT St. Petersburg Открыта регистрация на 9-ю Международную научно-практическую конференцию «Строительство и ремонт скважин — 2018» ExpoElectronica и ElectronTechExpo 2018: рост площади экспозиции на 19% и новые формы контент-программы Тематика и состав экспозиции РЭП на выставке "ChipEXPO - 2018" |