ANALYSIS OF DEEP LEARNING MODELS IN NLP (RNN, LSTM, TRANSFORMER)
Zaydullo Akbarov(Lecturer, Andijan State Technical Institute, Andijan, Uzbekistan)
Zenodo (CERN European Organization for Nuclear Research)repository2026
ABI
Abstract
This article explores modern methods for analyzing business processes based on Big Data and their practical significance. The study examines the role of Big Data technologies in improving business efficiency, optimizing decision-making processes, and enhancing competitiveness. Modern approaches such as machine learning, data mining, real-time analytics, and evaluation models are considered. The results demonstrate that Big Data enables the automation of business processes, reduces risks, and provides a deeper understanding of customer needs. The findings have both theoretical and practical significance for developing effective management decisions across various sectors.
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