Research of semantic text analysis methods and models

Kravchenko, O. O.

Публікація:
Research of semantic text analysis methods and models

dc.contributor.author	Kravchenko, O. O.
dc.date.accessioned	2024-09-02T15:08:13Z
dc.date.available	2024-09-02T15:08:13Z
dc.date.issued	2024
dc.description.abstract	This work provides a comprehensive review and evaluation of existing techniques for semantic text analysis. It explores a wide range of methodologies, including Bag-of-Words, TF-IDF, various word embedding models, semantic analysis techniques, sentiment analysis, and others. The analysis delves into the strengths, limitations, and applications of each method, highlighting their effectiveness in capturing semantic relationships and extracting meaningful insights from textual data. This work aims to provide valuable insights to inform the selection and implementation of semantic text analysis techniques, thus advancing the field of natural language processing.
dc.identifier.citation	Kravchenko O. O. Research of semantic text analysis methods and models / O. O. Kravchenko ; Supervisor Candidate of Technical Sciences, Associate Prof. I. D. Vechirska // Радіоелектроніка та молодь у ХХІ столітті : матеріали 28-го Міжнар. молодіж. форуму, 16-18 квітня 2024 р. – Харків : ХНУРЕ, 2024. – Т. 7. – С. 6–8. – DOI: https://doi.org/10.30837/IYF.CVSAMM.2024.006.
dc.identifier.doi	https://doi.org/10.30837/IYF.CVSAMM.2024.006
dc.identifier.uri	https://openarchive.nure.ua/handle/document/28508
dc.language.iso	uk
dc.publisher	ХНУРЕ
dc.subject	semantic text analysis
dc.subject	Bag-of-Words
dc.title	Research of semantic text analysis methods and models
dc.type	Thesis
dspace.entity.type	Publication