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Classification is the process of dividing the data into number of groups which are either dependent or independent of each other and each group acts as a class. The task of Classification can be done by using several methods using different types of classifiers. But classification cannot be done easily when it is to be applied on text documents that is: document classification. The main purpose of...
Rising of computer violence, such as Distributed Denial of Service (DDoS), web vandalism, and cyber bullying are becoming more serious issues when they are politically motivated and intentionally conducted to generate fear in society. These kinds of activity are categorized as cyber terrorism. As the number of such cases increase, the availability of information regarding these actions is required...
Text categorization is one important task of text mining, for automated classification of large numbers of documents. Many useful supervised learning methods have been introduced to the field of text classification. Among these useful methods, K-Nearest Neighbor (KNN) algorithm is a widely used method and one of the best text classifiers for its simplicity and efficiency. For text categorization,...
Automatic document classification due to its various applications in data mining and information technology is one of the important topics in computer science. Classification plays a vital role in many information management and retrieval tasks. Document classification, also known as document categorization, is the process of assigning a document to one or more predefined category labels. Classification...
We show how an Arabic language religious-political document can be automatically classified according to the ideological stream and organizational affiliation that it represents. Tests show that our methods achieve near-perfect accuracy.
Due to the exponential growth of available text documents in digital form, it is of great importance to develop techniques for automatic document classification based on the textual contents. Earlier document classification techniques have used keyword-based features and related statistics to achieve good results when applied to certain datasets. More recently, some of these techniques have been extended...
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