SEMANTIC ANALYSIS AND ARTIFICIAL INTELLIGENCE: NEW APPROACHES TO UNDERSTANDING TEXTS
Keywords:
Text Analysis, Semantic Analysis, Machine Learning, NLP, BERT, Uzbek language, Social Networks.Abstract
This article explores modern methods of semantic text analysis, particularly the process of meaning extraction using machine learning and natural language processing (NLP) technologies. The BERT model is employed to analyze Uzbek-language texts, with its effectiveness tested on social media data. The conclusion discusses future development directions for these methods and the need for adaptation to the Uzbek language.
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