INTRODUCTION: An intent classification is a challenged task in Natural Language
Processing (NLP) as we are asking the machine to understand our language by …

Unstructured data from the internet constitute large sources of information, which need to be
formatted in a user-friendly way. This research develops a model that classifies unstructured …

Feature models (FM) are a valuable resource in the analysis of software product lines (SPL).
They provide a visual abstraction of the variation points in a family of related software …

Exquisitor is a scalable media exploration system based on interactive learning, which first
took part in VBS in 2020. This paper presents an extension to Exquisitor, which supports …

The problem of classifying events in the industry is related to a large amount of accumulated
text data including, among others, communication between the company and the client …

A smart sustainable city is an innovative city that use a smart technology and smart
education besides other ecosystem's drivers in order to improve the quality of life. Several …

Abortion is a controversial topic that has long been debated in the US. With the recent
Supreme Court decision to overturn Roe v. Wade, access to safe and legal reproductive …

This research detects cyberbullying for the Malay language using supervised machine
learning (ML) and Natural Language Processing (NLP). Due to the high number of …

Cyberbullying is one of the major electronic problems, and it is not a new phenomenon. It
was present in the traditional form before the emergence of social networks, and …

Twitter's primary objective is to facilitate free expression and the exchange of ideas, allowing
individuals to share their thoughts, opinions, and information with others without any …