Text Categorization Using Adaptive Context Trees
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چکیده
A new way of representing texts written in natural language is introduced, as a conditional probability distribution at the letter level learned with a variable length Markov model called adaptive context tree model. Text categorization experiments demonstrates the ability of this representation to catch information about the semantic content of the text.
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تاریخ انتشار 2001