THE USE OF NEURAL NETWORKS FOR TEXT ANALISIS

This scientific research explores various types of neural networks specifically designed for text analysis. Neural networks are powerful computer models that can be trained on large datasets and recognize complex dependencies and patterns. Their application in natural language processing holds great promise, as this field encounters challenging tasks that require deeper understanding of language context. This approach to text analysis has a wide range of applications. It can be used for automatic extraction of key information from news, document sorting and categorization, social media analysis, and many other important domains. Its powerful potential in tackling diverse text analysis tasks underscores the significance and prospects of using neural networks in the modern scientific and technological landscape.