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

Savin Pavel Olegovich, Zhuravlev Artem Dmitrievich, Lukyanchikov Oleg Igorevich, Rusakov Alexey Mikhailovich, Filatov Vyacheslav Valeryevich

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.