This article presents a bibliometric analysis of research on COVID-19 health communication.
We reviewed and analyzed 1,851 articles published in 170 peer-reviewed communication …

High citations most often characterize quality research that reflects the foci of the discipline.
This study aims to spotlight the most recent hot topics and the trends looming from the highly …

Clinical text classification of electronic medical records is a challenging task. Existing
electronic records suffer from irrelevant text, misspellings, semantic ambiguity, and …

Highly cited papers showcase high-quality research and encompass significant themes in
the field. This study examined a total of 435 highly cited papers based on Essential Citation …

Social media has become an important web technology for creating and sharing information
plus enhancing business reputations worldwide. However, the anonymity accorded by …

Kyrgyz is a very underrepresented language in terms of modern natural language
processing resources. In this work, we present a new public benchmark for topic …

Hierarchical text classification is used to classify text into hierarchical categories. In search
queries, hierarchical classification is useful to give organizations more helpful insight into …

The research work on analysing the structural features of Andrey Sheptytsky's pastoral
letters using machine learning algorithms is a step towards understanding this outstanding …