GRADIENT BOOSTING METODI VOSITASIDA O‘ZBEK TILI MATNLARINI SENTIMENT TAHLIL QILISH
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Ushbu maqolada Gradient Boosting (GB) usuli yordamida oʻzbek tilidagi matnlarni sentiment tahlil qilishning samaradorligi va imkoniyatlari tadqiq qilingan. Korpusdagi matnlar tozalash, tokenizatsiya va normalizatsiya bosqichlari orqali oldindan tayyorlandi. Gradient boosting algoritmi asosida yaratilgan modelning aniqligi eksperimental sinovlar orqali, precision, recall va F1-score kabi metrikalar asosida baholandi. GBning ketma-ket xatolarni tuzatish qobiliyati tufayli, oʻzbek tilidagi murakkab soʻz birikmalari (masalan, “yaxshi emas”, “hech qanday yomon") aniq talqin qilindi. Morfologik normalizatsiya (soʻz o‘zaklarini ajratish) va maʼlumotlarni muvozanatlash kabi usullar model ishonchliligini 4% ga oshirdi. Tadqiqot natijalari mijozlar fikrlari tahlili, ijtimoiy tarmoqlarni monitoring qilish va til xizmatlaridagi avtomatik baholash tizimlarida qoʻllanilishi mumkinligini tasdiqlaydi.
1. Friedman, J. H. (2001). Greedy function approximation: a gradient boosting machine. Annals of statistics, 1189-1232.
2. Pang, B. and Lee, L. (2008) Opinion Mining and Sentiment Analysis. Foundations and Trends® in Information Retrieval, 2, 1-135.
3. Kaya, M. and other (2012) Sentiment Analysis of Turkish Political News 10.1109/WI-IAT.2012.115.
4. Guliyev, N., Rustamov, Z., & Rustamov, S. (2024, April). Analysis of public sentiment in Azerbaijani news and social media. In Proceedings of the International Conference on Computing, Machine Learning and Data Science (pp. 1-6).
5. Singh, J., Singh, G., Singh, R., & Singh, P. (2021). Morphological evaluation and sentiment analysis of Punjabi text using deep learning classification. Journal of King Saud University-Computer and Information Sciences, 33(5), 508-517.
6. Rabbimov, I. M., Yusupov, O. R., & Kobilov, S. S. (2023). Algorithm of decision trees ensemble for sentiment analysis of Uzbek text. In Artificial Intelligence, Blockchain, Computing and Security Volume 2 (pp. 686-693). CRC Press.
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