Cosine similarity is one of the most popular distance measures in text classification
problems. In this paper, we used this important measure to investigate the performance of …

Stemming is one of the most effective techniques, which has been adopted in many
applications, such as machine learning, machine translation, document classification (DC) …

Recent research on Big Data proposed and evaluated a number of advanced techniques to
gain meaningful information from the complex and large volume of data available on the …

Multi-label classification assigns multiple labels to each document concurrently. Many real-
world classification problems tend to employ high-dimensional label spaces, which can be …

Preprocessing is one of the main components in a conventional document categorization
(DC) framework. This paper aims to highlight the effect of preprocessing tasks on the …

In recent years, working on text classification and analysis of Arabic texts using machine
learning has seen some progress, but most of this research has not focused on Arabic …

In this paper, an Arabic statistical learning-based text classification system has been
developed using Polynomial Neural Networks. Polynomial Networks have been recently …

There is a huge content of Arabic text available over online that requires an organization of
these texts. As result, here are many applications of natural languages processing (NLP) …

The world has witnessed an information explosion in the past two decades. Electronic
devices are now available in many varieties such as PCs, Laptops, book readers, mobile …

Categorisation of text is significant trend that ultimately appears owing to the internet
revolution nowadays resulting in enormous amounts data that depend on various …