O‘ZBEK TILIDAGI KONFIDENSIAL MATNLARNI QOIDAVIY, NER VA MASHINAVIY O‘QITISH MODELLARI ASOSIDA GIBRID TASNIFLASH, HYBRID CLASSIFICATION OF CONFIDENTIAL TEXTS IN THE UZBEK LANGUAGE BASED ON RULE-BASED ANALYSIS, NER AND MACHINE LEARNING MODELS

Authors: Obidjon Bozorov

Publication: Techscience uz - Topical Issues of Technical Sciences

Published: Jun 30, 2026

Source: Crossref

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Abstract

<jats:p>Ushbu maqolada o‘zbek tilidagi konfidensial matnlarni aniqlash uchun qoidaviy tahlil, nomlangan ob’ektlarni aniqlash (NER) va mashinaviy o‘qitishni birlashtirgan gibrid tasniflash yondashuvi taklif etiladi. 1321 ta test faylida tizim 94,7% aniqlik va 5,2% soxta salbiy ulush ko‘rsatkichlariga erishdi.</jats:p>

Keywords

aniqlash ushbu maqolada ozbek tilidagi

O‘ZBEK TILIDAGI KONFIDENSIAL MATNLARNI QOIDAVIY, NER VA MASHINAVIY O‘QITISH MODELLARI ASOSIDA GIBRID TASNIFLASH, HYBRID CLASSIFICATION OF CONFIDENTIAL TEXTS IN THE UZBEK LANGUAGE BASED ON RULE-BASED ANALYSIS, NER AND MACHINE LEARNING MODELS

Abstract

Keywords

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