Matnli hujjatlarni Mashinali oʻrgatish usullari yordamida tasniflash

Authors

  • Saidov Doniyor, Yusupov Jaloliddin Aniq va ijtimoiy fanlar universiteti. Toshkent, O‘zbekiston

Keywords:

Matnli hujjatlarni tasniflash, Logistic Regression (LR), Naive Bayes (NB), Long short-term memory (LSTM):, mashinali o‘rgatish, tabiiy tilni qayta ishlash.

Abstract

Mazkur tadqiqot ishida matnli hujjatlarni tasniflash uchun mashinali
o‘rgatish usullari – Logistic Regression, Naive Bayes va Long short-term memory usullari
tahlil qilindi. Hisoblash tajribalarida matematika, fizika, huquqshunoslik va biologiya
fanlariga tegishli hujjatlar sinovdan o‘tkazildi va natijalar olindi.

References

N Ignatev, D Saidov, U Tuliev. Cluster analysis of document collections based on

topological properties of objects // AIP Conference Proceedings, 2024, Volume 3244,

Issue 1. https://doi.org/10.1063/5.0242564

D Saidov, S Eshbadalov. Analysis of classification of text documents according to the

content using machine learning methods: Analysis of classification of text documents

according to the content … MODERN PROBLEMS AND PROSPECTS OF APPLIED

MATHEMATICS, 2024/6/7, Volume 1, Issue 01.

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Published

2024-12-13

How to Cite

Saidov Doniyor, Yusupov Jaloliddin. (2024). Matnli hujjatlarni Mashinali oʻrgatish usullari yordamida tasniflash. NAZARIY VA AMALIY FANLARDAGI USTUVOR ISLOHOTLAR VA ZAMONAVIY TA’LIMNING INNOVATSION YO’NALISHLARI, 1(12), 46–48. Retrieved from https://innovativepublication.uz/index.php/NUZY/article/view/2086

Issue

Vol. 1 No. 12 (2024): NAZARIY VA AMALIY FANLARDAGI USTUVOR ISLOHOTLAR VA ZAMONAVIY TA'LIMNING INNOVATSION YO'NALISHLARI-DECEMBER №12 (2024)

Section

Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.