COVID-19 is a novel virus that presents challenges due to a lack of consistent and in-depth
research. The news of the COVID-19 spreads across the globe, resulting in a flood of posts …

Large-scale text data from public sources, including social media or online platforms, can
expand urban planners' ability to monitor and analyze urban conditions in near real-time. To …

Purpose To utilize natural language processing (NLP) of MRI reports and various clinical
variables to develop a preliminary model predictive of the need for surgery in patients with …

Text classification plays an important role in the areas of natural language processing and
data mining. In general, a text is usually described around a collection of entities, ie, the …

In recent times, the rising cases of racial abuse toward football players are gravely
concerning. This trend is becoming a recurrent decimal on social networks with little or no …

This paper presents a broad study on the application of the BERT (Bidirectional Encoder
Representations from Transformers) model for multiclass text classification, specifically …

In healthcare, a remarkable progress in machine learning has given rise to a diverse range
of predictive and decision-making medical models, significantly enhancing treatment …

Text categorization (TC) is one of the most useful automatic tools in today's world to organize
huge text data automatically. It is widely used by practitioners to classify texts automatically …

In the dynamic domain of logistics, effective communication is essential for streamlined
operations. Our innovative solution, the Multi-Labeling Ensemble (MLEn), tackles the …

Представлен алгоритм аналого-цифрового преобразования первичной геолого-
геофизической информации (на примере идентификации литотипов горных пород на …