Details
| Title | Linguistic Analysis of Grant Applications’ Metadata in Information Technology (IT) Domain with Computational Linguistics Methods: выпускная квалификационная работа магистра: направление 45.04.04 «Интеллектуальные системы в гуманитарной среде» ; образовательная программа 45.04.04_01 «Цифровая лингвистика (международная образовательная программа)/Digital Linguistics (International Educational Program)» |
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| Creators | Коростелев Денис Александрович |
| Scientific adviser | Коган Марина Самуиловна |
| Organization | Санкт-Петербургский политехнический университет Петра Великого. Гуманитарный институт |
| Imprint | Санкт-Петербург, 2024 |
| Collection | Выпускные квалификационные работы; Общая коллекция |
| Subjects | grant applications; linguistic analysis; readability; scientific style; Russian Science Fund; information technologies |
| Document type | Master graduation qualification work |
| File type | |
| Language | Russian |
| Level of education | Master |
| Speciality code (FGOS) | 45.04.04 |
| Speciality group (FGOS) | 450000 - Языкознание и литературоведение |
| DOI | 10.18720/SPBPU/3/2024/vr/vr24-5803 |
| Rights | Доступ по паролю из сети Интернет (чтение, печать) |
| Additionally | New arrival |
| Record key | ru\spstu\vkr\33251 |
| Record create date | 8/29/2024 |
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The purpose of the study is to identify linguistic features of successful grant applications. Research Objectives: - Collection, analysis of scientific literature and technical documentation on the topic of the masters thesis; - To collect a corpus of supported grant applications from 2020 to 2023; - Depersonalization and cleaning of data in the corpus; - Data analysis by means of ATP and NLP frameworks; - Interpretation of results; Research Methods: - Analyzing metadata in the corpus using computational linguistics tools; - Comparative analysis; Main findings of the study: - No relationship between the length of textual data and subject domain was identified; - A tendency in the use of typical constructions and vocabulary was identified; - The application of readability metrics to scientific texts was found to be inadequate.
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