Purpose The purpose of this study is to develop a model for automated classification of old
digitised texts to the Universal Decimal Classification (UDC), using machine-learning …

Cyber threat intelligence (CTI) refers to essential knowledge used by organizations to
prevent or mitigate against cyber attacks. Vulnerability databases such as CVE and NVD are …

Spam, under a variety of shapes and forms, continues to inflict increased damage. Varying
approaches including Support Vector Machine (SVM) techniques have been proposed for …

Naive Bayes is very popular in commercial and open-source anti-spam e-mail filters. There
are, however, several forms of Naive Bayes, something the anti-spam literature does not …

The explosion of online information with the recent advent of digital technology in
information processing, information storing, information sharing, natural language …

Abstract At the SemEval-2024 Task 5, the organizers introduce a novel natural language
processing (NLP) challenge and dataset within the realm of the United States civil …

In this study, we tackle the task of automatically discerning the level of semantic relatedness
between pairs of sentences. Specifically, Task 1 at SemEval-2024 involves predicting the …

Emergencies occur randomly all over the world. Therefore, emergency management plays a
very important role in saving lives in disaster situations. Progress in technology and …

A combination of classifiers leads to a substantial reduction of classification errors in a wide
range of applications. Among them, support vector machine (SVM) ensembles with bagging …

The study of literary texts is one of the earliest disciplines practiced around the globe. Poetry
is artistic writing in which words are carefully chosen and arranged for their meaning, sound …