This paper proposes the application of Artificial Neural Network for the classification of
Arabic language documents. The automatic classification of Arabic documents using ANN …

This paper proposed a new improved method for back propagation neural network, and
used an efficient method to reduce the dimension and improve the performance. The …

ABSTRACT Machine Learning and Data Mining have been applied to language datasets to
discover patterns: such as grammar inference, grammatical word-classifications for English …

In this paper, we report our experience on the use of phrases as basic features in the email
classification problem. We performed extensive empirical evaluation using our large email …

This paper proposes new modified methods for back propagation neural networks and uses
semantic feature space to improve categorization performance and efficiency. The standard …

Email is one of the most ubiquitous and pervasive applications used on a daily basis by
millions of people worldwide, individuals and organizations more and more rely on the …

This paper proposed a new text categorization model based on the combination of modified
back propagation neural network (MBPNN) and latent semantic analysis (LSA). The …

Automatic categorization of text documents has become an important area of research in the
last two decades, with features that make it significantly more difficult than the traditional …

Data on the Swedish population are stored in many registers located in different authorities.
These data are crucial for epidemiological and other register-based research. We are …

The concept of Bloom's taxonomy has broadly implemented as a guideline in designing a
reasonable examination question paper that consist of question items belonging to various …