MATNLARDAN TOKSIK (ZARARLI) KONTENTNI ANIQLASH UCHUN SUN'IY INTELLEKT MODELINI YARATISH
Qabul qilingan: 2026-05-30
Nashr etilgan: 2026-06-06
Annotatsiya
Ushbu maqolada matnlardagi toksik va zararli kontentni avtomatik aniqlash muammosi ko'rib chiqiladi. Ijtimoiy tarmoqlar va onlayn platformalarda toksik mazmunning ko'payishi nafaqat foydalanuvchilarga, balki jamiyatga ham salbiy ta'sir ko'rsatmoqda. Tadqiqotda gibrid sun'iy intellekt arxitekturasi taklif etilgan bo'lib, u BERT asosidagi transformerlar va ikki yo'nalishli LSTM tarmoqlarini birlashtirib ishlatadi. Taklif etilgan model O'zbekiston ijtimoiy tarmoqlaridan yig'ilgan o'zbek va rus tillardagi aralash matnlar asosida mashq qildirildi. Tajribalar natijasida model 94,7% aniqlik (accuracy), 93,2% to'liqlik (recall) va 94,0% F1-ko'rsatkich qiymatlariga erishdi. Bundan tashqari, maqolada ma'lumotlar to'plami tayyorlash, modelni baholash mezonlari va real vaqt rejimida qo'llash imkoniyatlari tahlil qilingan.
Kalit so‘zlar
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Litsenziya
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