With increasing number of documents in digital format, automatic text categorization has
become a crucial task in pattern recognition problems. To ease the classification task …

In this paper, we describe an XML document classification framework based on extreme
learning machine (ELM). On the basis of Structured Link Vector Model (SLVM), an optimized …

Multi-label classification aims to construct prediction models from input space to output
space for multi-label datesets. However, the feature space of multi-label dataset and the …

Multi-label text classification deals with problems in which each document is associated with
a subset of categories. These documents often consist of a large number of words, which …

With increasing interest in sentiment analysis research and opinionated web content always
on the rise, focus on analysis of text in various domains and different languages is a relevant …

With the rapid development of World Wide Web, text categorization has played an important
role in organizing and processing large amount of text data. The first and major problem of …

Arabic is a derivational language that provides invaluable features. Arabic roots are basic
forms that are used to formulate words. They are limited sets that encapsulate the word's …

Abstract The rise of Natural Language Processing (NLP) opened new possibilities for
various applications that were not applicable before. A morphological-rich language such as …

Selecionar atributos em tarefas de Mineraçao de Textos é uma atividade essencial para
viabilizar a obtençao de resultados válidos e compreensıveis. Em tarefas nao …

Arabic morphology encapsulates many valuable features such as word root. Arabic roots are
being utilized for many tasks; the process of extracting a word root is referred to as …