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: | Analysis of scientists work directions based on natural language processing |
| Issue Date: | 2020 |
| Citation: | Zinnatullin V.F. Analysis of scientists work directions based on natural language processing / V.F. Zinnatullin, S.N. Koledin // 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. 414-420. |
| Abstract: | The paper analyzes scientific activities of university professors based on open sources. Two directions are proposed: a visual analysis of the processing of natural language texts (wordcloud) and codification of scientific work in directions (UDC). The task of classifying big data allows expanding the capabilities of visual analysis. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/12668 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Description | Size | Format | |
|---|---|---|---|---|
| ИТНТ-2020_том 4-414-420.pdf | 1.06 MB | Adobe PDF | View/Open |
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