This paper proposes an efficient, Chi-Square-based, feature selection method for Arabic text
classification. In Data Mining, feature selection is a preprocessing step that can improve the …

Text classification is the process of grouping texts into one or more predefined categories
based on their content. Due to the increased availability of documents in digital form and the …

Based on the study of Tibetan characters and grammar, this paper has done research on
Tibetan in the text categorization weight algorithm based on the vector space model …

Bio-inspired models have taken inspiration from the nature to solve challenging problems in
an intelligent manner. Major aims of such bio-inspired models of computation are to propose …

The back propagation (BP) neural network is widely used for text categorization and could
achieve high performance. However, the greatest disadvantage of this network is its long …

Text classification is widely used nowadays. In this paper, we proposed a combination
feature reduction method to reduce feature space dimension based on inductive analysis of …

The work paradigm of crowd sourcing holds huge potential for organizations by providing
access to a large workforce. However, an increase of crowd work entails increasing effort to …

Today, the number of text documents in digital form is progressively increasing and text
categorization becomes the key technology of dealing with organizing text data. A major …

Search engines and text categorization are two research areas almost inseparable. Where
one is studied, the other is referred sooner or later. Automatic text categorization became …

Information explosion brings lots of challenges to text classification. The dimension disaster
led to a sharp increase of computational complexity and lower classification accuracy …