Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| Title: | Подход к формированию обучающей выборки для оценки эмоциональной окраски постов социальной сети с применением машинного обучения |
| Other Titles: | An approach to the formation of a training sample for assessing the sentiment degree of social network posts using machine learning |
| Authors: | Константинов, А.А. |
| Issue Date: | 2020 |
| Citation: | Константинов А.А. Подход к формированию обучающей выборки для оценки эмоциональной окраски постов социальной сети с применением машинного обучения / А.А. Константинов // Информационные технологии и нанотехнологии (ИТНТ-2020). Сборник трудов по материалам VI Международной конференции и молодежной школы (г. Самара, 26-29 мая): в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В. А. Фурсова]. – Самара: Изд-во Самар. ун-та, 2020. – Том 4. Науки о данных. – 2020. – С. 328-336. |
| Abstract: | В данной статье описывается система определения эмоциональной окраски постов социальной сети. В статье подробно описан разработанный алгоритм формирования обучающей выборки, а так же реализация программной системы и эксперименты. This article describes a system for determining the emotional coloring of social network posts. The article describes in detail the developed algorithm for the formation of the training sample, as well as the implementation of the software system and experiments. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/12618 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Description | Size | Format | |
|---|---|---|---|---|
| ИТНТ-2020_том 4-328-336.pdf | 346.24 kB | Adobe PDF | View/Open |
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