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- W63546440 abstract "This chapter introduces the concept and implementation of a software system, TCAT (Text CATegorization) system, for the purpose of automatic recognition of a topic of an Internet document. The need for such systems has grown essentially along with the popularity of the electronic form of documents implied by the recent widespread and easy access to the Internet. The Internet provides an excellent testbed for the methods developed within information retrieval (IR). This encompasses various tasks addressed by IR, such as fast textual documents retrieval or automatic text categorization. The chapter considers the scenarios in which system may be applicable. The first one is that of a Web Spider that is known as an agent software “traversing” the Web and automatically classifying documents belong to a prespecified category/categories. The second scenario is that of a “translation agency.” Certain categories of documents are preferred to match their preferences to secure a high efficiency of the whole translation process; the classification may be done manually. Also, the very task of categorization may be redefined taking into account that a document usually belongs, to a varying degree, to different categories." @default.
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- W63546440 date "2003-01-01" @default.
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- W63546440 title "Towards an intelligent text categorization for web resources" @default.
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- W63546440 doi "https://doi.org/10.1016/b978-044451379-3/50012-1" @default.
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