This paper presents a dataset and approaches to named entity recognition (NLP) in Uzbek
language, in a resource-constrained language environment. Despite the increase in NLP …

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. This
study aimed to automatically analyze and detect stop words in texts in the Uzbek language …

The dataset presented in this paper aims to address the challenge of automatic extraction of
stop words in Natural Language Processing (NLP) for the low-resource Karakalpak …

As part of the study, the authors developed a dictionary of the formal Uzbek language and its
dialects, which can be used in the tasks of standardizing mixed texts in various dialects of …

Amidst the increasing reliance on social media for public expression, accurate sentiment
analysis has become essential, notably in assessing application reviews. This study focuses …

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 main goal of scientific researchers is to improve their knowledge by finding information
about their field from their daily news. In this case, the researcher faces the issue of …

Keyword extraction and topic modeling in the analysis of Gojek user reviews in Indonesian
are very important. By understanding user preferences and needs through keyword …