This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

With advancements in large language models, artificial intelligence (AI) is undergoing a
paradigm shift where AI models can be repurposed with minimal effort across various …

With the growth of social platforms in recent years and the rapid increase in the means of
communication through these platforms, a significant amount of textual data is available that …

In this work, we propose BERT-WMAL, a hybrid model that brings together information
coming from data through the recent transformer deep learning model and those obtained …

Transformers are widely used in natural language processing, where they consistently
achieve state-of-the-art performance. This is mainly due to their attention-based architecture …

The extractive summarization approach involves selecting the source document's salient
sentences to build a summary. One of the most important aspects of extractive …

This article helps establish reliable baselines for document-level sentiment analysis in
highly inflected languages like Czech and Slovak. We revisit an earlier study representing …

Depression is a significant issue nowadays. As per the World Health Organization (WHO), in
2023, over 280 million individuals are grappling with depression. This is a huge number; if …

An increasing demand for model explainability has accompanied the widespread adoption
of transformers in various fields of applications. In this paper, we conduct a survey of the …

Depression is the most prevalent mental health disorder, which is spreading like an
epidemic. With the rise of the internet, people from all over the world now express their daily …