MASHINALI O‘QITISH ALGORITMLARI YORDAMIDA HUJJATLARNI TASNIFLASH USULLARI TAHLILI

Authors

  • Kenjayev Xamdam Bazarbayevich Muhammad al-Xorazmiy nomidagi TATU Nukus filiali

Keywords:

Matn tahlili, mashinali o‘qitish, o‘qituvchili o‘qitish, o‘qituvchisiz o‘qitish, tabiiy tilni qayta ishlash, axborotlarni ajratib olish

Abstract

Matnli hujjatning avtomatik tasnifi onlayn matnli ma’lumotlarning payda bo‘lganidan beri matn tahlili sohasidagi tadqiqotda ahamiyatli hisoblanadi. Raqamli kutubxonalar, elektron pochtalar, bloglar va boshqalar kabi manbalar raqamli davrda matnli hujjatlarning tez o‘sishini ta’minlaydi. Umuman olganda, matnli hujjatning toifalari ma’lumot olish, mashinani o‘qitish va tabiiy tilni qayta ishlash  kabi bir qancha sohalarini o‘z ichiga oladi. Ushbu maqola matnli hujjatlar to‘plamini oldindan belgilangan toifa belgilariga tasniflash uchun ham nazorat ostida va nazoratsiz mashinali o‘qitish usullaridan foydalanadigan tadqiqotlar tahlil qilingan.

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Published

2024-10-28

How to Cite

Kenjayev, X. (2024). MASHINALI O‘QITISH ALGORITMLARI YORDAMIDA HUJJATLARNI TASNIFLASH USULLARI TAHLILI. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 2(5), 27–33. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v2i55