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Implementation ofdata parsingtechnology usingneural network andweb driver : научноеиздание Egarmin PavelPanov RomanAkhmatshin Farid2024 год

Implementation of data parsing technology using neural network and web driver : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Implementation of data parsing technology using neural network and web driver : научное издание / P. P. Egarmin [и др.]. - Текст : непосредственный // E3S Web of Conferences. - 2024. - Т. 531, № . - С. 03009. - ISSN 2555-0403. - ISSN 2267-1242, DOI 10.1051/e3sconf/202453103009.
Аннотация: <jats:p>As a rule, data parsing is used to quickly obtain information from various web resources for further study and use. For parsing, you can use both specialized online services and desktop applications. Unfortunately, existing parsing technologies have some limitations. For example, it is often difficult to parse dynamic web pages and classify information obtained through parsing. New approaches are needed in implementing data collection and analysis - using language models and software (web driver) that simulate human actions when working with websites. The web driver assists in accessing data from dynamically updated sites, while artificial intelligence technologies help correctly recognize and classify data. This technology can be used to create parsers for real estate agencies, employment services, university admission committees, advertising campaigns, and financial organizations.</jats:p>
Год издания: 2024
Авторы: Egarmin Pavel, Panov Roman, Akhmatshin Farid, Mikitchak Sergey, Egarmina Alena
Издательство: EDP Sciences - Web of Conferences, Les Ulis
Источник: E3S Web of Conferences
Выпуск: Т. 531
Номера страниц: 03009
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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