Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

Text classification is a prominent research area, gaining more interest in academia, industry
and social media. Arabic is one of the world's most famous languages and it had a …

The process of tagging a given text or document with suitable labels is known as text
categorization or classification. The aim of this work is to automatically tag a news article …

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 …

Multi-label text categorization refers to the problem of assigning each document to a subset
of categories by means of multi-label learning algorithms. Unlike English and most other …

Automatic document categorization gains more importance in view of the plethora of textual
documents added constantly on the web. Text categorization or classification is the process …

Text classification and categorization have become one of the required fields that are
increasingly employed in different aspects, especially when social media applications …

Multi-label classification of textual data is an important problem with the growing size of
available data and the increasing difficulties in assigning a single label to each piece of text …

There is a massive growth of text documents on the web. This led to the increasing need for
methods that can organize and classify electronic documents (instances) automatically. Multi …

Multilabel text classification is an important task in Natural Language Processing (NLP). One
use case of such a task is in categorizing news articles, where each article may belong to …