The ongoing growth in the vast amount of digital documents and other data in the Arabic
language available online has increased the need for classification methods that can deal …

Objectives Tertiary and quaternary (TQ) care refers to complex cases requiring highly
specialized health services. Our study aimed to compare the ability of a natural language …

This paper introduces a method for linear support vector machine parameter tuning based
on particle swarm optimization metaheuristic, which is used to find the best cost (penalty) …

Digital media has a massive presence in the modern world, and it significantly impacts kids'
intellectual, cognitive, ethical, and social development. It is nearly impossible to isolate kids …

Text classification is the process of categorizing text documents to a predefined group of
categories. This paper aims to provide experimental evaluations of six well-known …

Future work sentences (FWS) are the particular sentences in academic papers that contain
the author's description of their proposed follow-up research direction. This paper presents …

The predictive power of increasingly common large-scale, behavioral data has been
demonstrated by previous research. Such data capture human behavior through the actions …

Text mining, mengacu pada proses mengambil informasi berkualitas tinggi dari teks.
Informasi berkualitas tinggi biasanya diperoleh melalui peramalan pola dan kecenderungan …

Public procurement spending in Nigeria are usually documented and presented in non-
standardised formats. This manifests in spends categorisation and classification …

The curse of high dimensionality in text classification is a worrisome problem that requires
efficient and optimal feature selection (FS) methods to improve classification accuracy and …