With the rapid growth of textual content on the Internet, automatic text categorization is a
comparatively more effective solution in information organization and knowledge …

The role of intelligence and security informatics based on statistical computations is
becoming more significant in detecting terrorism activities proactively as the extremist …

A support vector machine (SVM) optimized by genetic algorithm (GA)-based damage
identification method is proposed in this paper. The best kernel parameters are obtained by …

In computational linguistics, sentiment analysis refers to the classification of opinions in a
positive class or a negative class. There exist a lot of different methods for sentiment …

Currently, most of the plagiarism detections are using similarity measurement techniques.
Basically, a pair of similar sentences describes the same idea. However, not all like that …

Plagiarism relates to the act of taking information or ideas of someone else and demand it as
your own. Basically it reproduce the existing information in modified format. In every field of …

Abstract Language identification is widely used in machine learning, text mining, information
retrieval, and speech processing. Available techniques for solving the problem of language …

This paper presents a novel Arabic dataset that considers the characteristics of the Arabic
language filling some gaps not covered by existing datasets. Conventional datasets …

Web Page Classification (WPC) is both an important and challenging topic in data mining.
The knowledge of WPC can help users to obtain useable information from the huge internet …

Our previous paper [1] proposed to use Zernike moments magnitudes (ZMMs) of the image
for authentication. We demonstrated the good robustness and discriminative capability of …