Aholi fikrini yig’uvchi va tahlil qiluvchi ijtimoiy tahlil tizimini ishlab chiqish
Annotatsiya
Maqolada aholi fikrini yig’ish, tasniflash va vizualizatsiya qilishga mo’ljallangan sentiment analysis platformasi loyihasi taqdim etilgan. Tadqiqotning ilmiy yangiligi shundaki, ko’p tilli (o’zbek-kiril, o’zbek-lotin, rus) ijtimoiy tarmoq matnlarini tasniflashda transformer asosidagi BERT modelining mahalliy bozorga moslashtirilgan fine-tuning natijalari ko’rsatilgan. Maqolada matnni qayta ishlash quvuri, sentiment tasniflagichining matritsasi va topic modeling natijalarining vizual taqdimoti keltirilgan.
Kalit so’zlar: sentiment analysis, BERT, NLP, ijtimoiy tahlil, fikr-mulohaza, transformer, topic modeling, fuqaroviy ishtirok
Библиографические ссылки
1. Vaswani A., Shazeer N., Parmar N. et al. Attention is all you need // Advances in Neural Information Processing Systems. — 2017. — Vol. 30. — P. 5998–6008.
2. Devlin J., Chang M.-W., Lee K., Toutanova K. BERT: Pre-training of deep bidirectional transformers for language understanding // Proceedings of NAACL-HLT. — 2019. — P. 4171–4186.
3. Conneau A., Khandelwal K., Goyal N. et al. Unsupervised cross-lingual representation learning at scale // Proceedings of ACL. — 2020. — P. 8440–8451.
4. Grootendorst M. BERTopic: Neural topic modeling with a class-based TF-IDF procedure // arXiv preprint arXiv:2203.05794. — 2022.
5. Pang B., Lee L. Opinion mining and sentiment analysis // Foundations and Trends in Information Retrieval. — 2008. — Vol. 2, No. 1–2. — P. 1–135.
