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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 classification technologies rely heavily on the distribution of features, and the selection of discriminant features with regards to the classes as the main basis for classification. In this paper, we propose the discriminant coefficient to represent the features of a document. Based on the discriminant coefficient, the classification coefficient for each document class is defined and computed...
In vector space models, traditional relevance feedback techniques, which utilize the terms in the relevant documents to enrich the user's initial query, is an effective method to improve retrieval performance. However, in this process, it also brings some non-relevance terms in the relevant documents in the new query. The number of non-relevance terms will increase according to the repeat of feedback...
Text categorization or text classification (TC) has recently received increased research attention from information retrieval and machine learning communities, this focus is driven mostly by the ever growing demand for effective and efficient content-based, document management. In the context of digital library or Web portal application, the problem of text categorization is normally that of classification...
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