This paper investigates statistical and neural approaches for automatic text summarization and keyword extraction in the Uzbek language. Traditional techniques like TF-IDF and Non-negative Matrix Factorization (NMF) are applied for identifying key terms and latent topics. Additionally, deep...

Text summarization is a natural language processing task aimed at generating a condensed version of a given text using a computer. The result, known as a summary, should capture the key points and essential information from the original content. Besides text, other data types such as images,...