Management and Economics Scientific Research Journal 2-tom 2-san (2025) · 178-180-betler
MATNLI MA’LUMOTLARDAN FAKTLARNI AJRATISH TEXNOLOGIYALARI
Niyozmatova N.A, Xoitqulov A.A, Mamatov A.A
Annotaciya
This article analyzes the technologies for extracting facts from text data andtheir importance. The article considers methods for extracting facts from texts accurately andefficiently, including keyword-based extraction, rule-based approaches, and machine learningmethods. Along with natural language processing technologies and semantic analysis methods,the main stages of extracting facts are covered - the processes of identifying named entities,extracting relationships, identifying events, extracting facts from text, and validating them. It isemphasized that today the issue of processing large volumes of text data, extracting usefulinformation from them, and structuring them is of great importance in optimizing decisionmakingprocesses in various fields such as medicine, law, and business.
Faktlarni ajratish, matnli ma'lumotlar, tabiiy tilni qayta ishlash, mashinali o'qitish, semantik tahlil, nomlangan entitetlar, ma'lumotlarni tuzish, qoidalarga asoslangan yondashuv, validatsiya, strukturalashtirish.
Metadata derekkózi: jurnal OAI-PMH arxivi · Sindex tolıq mátindi saqlamaydı, derekkózge silteme beredi.