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DEVELOPMENT OF A SOFTWARE TOOL FOR CLASSIFYING E-MAIL MESSAGES BASED ON THE SUPPORT VECTOR METHOD

Savin Pavel Olegovich  (RTU MIREA)

Zhuravlev Artem Dmitrievich  (Russian Academy of National Economy and Public Administration)

Lukyanchikov Oleg Igorevich  (Head of the CommuniGate Systems development group, Ph.D. Associate Professor of the KB-3 Department of RTU MIREA)

Rusakov Alexey Mikhailovich  ((Senior lecturer) (RTU MIREA))

Filatov Vyacheslav Valeryevich  ((Associate Professor) (RTU MIREA))

The article describes the principle of creating an application in the Python programming language using the support vector machine, which performs the classification of letters. On the prepared data set, this method, as well as in other scientific papers, showed high accuracy. A large number of emails accumulate in the e-mail of corporate employees during work correspondence, and every day employees spend a lot of time filtering and processing emails in their mailboxes, which affects their productivity. The developed software tool allows you to organize emails in the best possible way according to the specified user criteria.

Keywords:text mining, machine learning, support vector machine, е-mail.

 

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Citation link:
Savin P. O., Zhuravlev A. D., Lukyanchikov O. I., Rusakov A. M., Filatov V. V. DEVELOPMENT OF A SOFTWARE TOOL FOR CLASSIFYING E-MAIL MESSAGES BASED ON THE SUPPORT VECTOR METHOD // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№06/2. -С. 134-137 DOI 10.37882/2223-2966.2023.6-2.30
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