Text classification is an important task in Natural Language Processing (NLP), where the
goal is to categorize text data into predefined classes. In this study, we analyse the dataset …

This research paper presents a part-of-speech (POS) annotated dataset and tagger tool for
the low-resource Uzbek language. The dataset includes 12 tags, which were used to …

One of the major challenges of an educational system is choosing appropriate content
considering pupils' age and intellectual potential. In this article the experiment of primary …

The volume of information is increasing at an incredible rate with the rapid development of
the Internet and electronic information services. Due to time constraints, we don't have the …

Stop words are very important for information retrieval and text analysis investigation tasks of
natural language processing. Current work presents a method to evaluate the quality of a list …

Hozirgi kunda texnologiyaning rivoji korxona va firmalar o'rtasida roqobatni kuchaytirib, har
biri o'z maxsulot va xizmatlarini yaxshilashga harakat qilmoqda. Bunda xaridor va …

Recent advances in neural networks based language representation made it possible for
pretrained language models to outperform previous models in many downstream natural …

The objective of enhancing the availability of natural language processing technologies for
low-resource languages has significant importance in facilitating technological accessibility …

This article presents an original sentiment analysis algorithm developed for analyzing Uzbek
language texts in order to correctly determine and identify the sentiment of the text. The …

The article is devoted to the problem of extracting emotional assessments from natural
language texts. The article analyzes existing methods of sentiment analysis and explores …