Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/339992| Title: | On web-texts classification with methods of computer data analysis |
| Authors: | Selezneva, V. S. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2025 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the XIV Intern. Conf., Minsk, Sept. 24–27, 2025 / Belarusian State Univ. ; eds.: Yu. Kharin (ed.-in-chief) [et al.]. – Minsk : BSU, 2025. – Pp. 237-239. |
| Abstract: | The relevance of this research is due to the analysis of web-texts by means of automatic sentiment analysis. The Apify software product was chosen for the research and reviews web-texts were used as the studied material. In the course of the research the positive, neutral and negative opinions were revealed, which in the future will allow users to identify the best product, and the owners of the product to increase their credibility |
| URI: | https://elib.bsu.by/handle/123456789/339992 |
| ISBN: | 978-985-881-830-2 |
| Licence: | info:eu-repo/semantics/restrictedAccess |
| Appears in Collections: | 2025. Computer Data Analysis and Modeling: Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 237-239.pdf | 203,18 kB | Adobe PDF | View/Open |
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