Marketing has changed fundamentally in the new millennium. At the same time, sustainable
marketing strategies have evolved to meet the challenges of environmental issues. In this …

The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

In smart education, adaptive e-learning systems personalize the educational process by
tailoring it to individual learning styles. Traditionally, identifying these styles relies on …

The traditional approach of single-word brand names faces constraints due to trademarks,
prompting a shift towards fusing two or more words to craft unique and memorable brands …

The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

The identification of key concepts within unstructured data is of paramount importance in
practical applications. Despite the abundance of proposed methods for extracting primary …

Purpose The purpose of the paper is to present an integrated methodology for identifying
trends in a particular subject area based on a combination of advanced text mining and …

This paper presents a novel approach to generate a use case diagram by analyzing the
given user story using NLP and ML. Use case diagrams play a major role in the designing …

Explainability, which is the degree to which an interested stakeholder can understand the
key factors that led to a data-driven model's decision, has been considered an essential …

This paper provides a detailed insight into computational approaches for deciphering
Bronze Age Aegean and Cypriot scripts, namely the Archanes script and the Archanes …