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technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization". It was primarily developed for language guessing, a task on which it is known to perform with near-perfect accuracy. WWW: http://software.wise-guys.nl/libtextcat/
18 lines
932 B
Plaintext
18 lines
932 B
Plaintext
Libtextcat is a library with functions that implement the classification
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technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization" [1].
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It was primarily developed for language guessing, a task on which it is known to
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perform with near-perfect accuracy.
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The central idea of the Cavnar & Trenkle technique is to calculate a
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"fingerprint" of a document with an unknown category, and compare this with the
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fingerprints of a number of documents of which the categories are known. The
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categories of the closest matches are output as the classification. A
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fingerprint is a list of the most frequent n-grams occurring in a document,
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ordered by frequency. Fingerprints are compared with a simple out-of-place
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metric.
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[1] The document that started it all: William B. Cavnar & John M. Trenkle (1994)
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N-Gram-Based Text Categorization, <http://citeseer.ist.psu.edu/68861.html>.
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WWW: http://software.wise-guys.nl/libtextcat/
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