TURIZM PLATFORMALARIDAGI O‘ZBEKCHA SHARHLARDA SEMANTIK MA‘NO VA SENTIMENTNI ANIQLASHNING SUN‘IY INTELLEKTGA ASOSLANGAN KOMPYUTER-LINGVISTIK MODELI
DOI:
https://doi.org/10.67227/ryz6p038Kalit so‘zlar:
sentiment tahlil, semantik ma‘no, kompyuter lingvistikasi, sun‘iy intellekt, ko‘p tilli model, BERT, turizm sharhlari, NLP, o‘zbek tili.Abstrak
Ushbu maqolada turizm platformalaridagi foydalanuvchi sharhlari — o‘zbek, rus va ingliz tillarida — semantik ma‘no va sentiment tahlil qiluvchi sun‘iy intellektga asoslangan kompyuter-lingvistik model ishlab chiqish metodologiyasi taqdim etiladi. Tadqiqotda transformerga asoslangan ko‘p tilli til modellari (multilingual BERT, XLM-RoBERTa), ontologiyaga asoslangan semantik tahlil va ko‘p sinfli sentiment klassifikatsiyasi metodlari birlashtirilgan. Bir tildagi turizm sharhlari korpusi asosida o‘tkazilgan eksperimentlar modelning umumiy aniqlik ko‘rsatkichi 91,4% ga erishganini ko‘rsatdi. Tadqiqot natijalari o‘zbek tili NLP yo‘nalishida ilmiy-amaliy ahamiyat kasb etadi.
Yuklashlar
Havolalar
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