Eurasian Journal of Law, Finance and Applied Sciences 5-jild 5-son (2025) · 87–95-betlar

SEMANTIC ANALYSIS AND ARTIFICIAL INTELLIGENCE: NEW APPROACHES TO UNDERSTANDING TEXTS

Absalamova, Diyora, Kamalov, Shuxrat, Absalamova, Go’zal, Tengelova, Farangiz, Maxamedova, Munisahon

DOI: 10.5281/zenodo.15461462 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

This article explores modern methods of semantic text analysis, particularly the process of meaning extraction using machine learning and natural language processing (NLP) technologies. The BERT model is employed to analyze Uzbek-language texts, with its effectiveness tested on social media data. The conclusion discusses future development directions for these methods and the need for adaptation to the Uzbek language.

Text Analysis, Semantic Analysis, Machine Learning, NLP, BERT, Uzbek language, Social Networks.Matn tahlili, semantik analiz, mashinaviy o’qitish, NLP, BERT, o’zbek tili, ijtimoiy tarmoqlar.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.