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Diffstat (limited to 'libraries/libexttextcat/README')
| -rw-r--r-- | libraries/libexttextcat/README | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/libraries/libexttextcat/README b/libraries/libexttextcat/README index 3b9743c04a..9332783b6e 100644 --- a/libraries/libexttextcat/README +++ b/libraries/libexttextcat/README @@ -3,7 +3,7 @@ classification 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. - + The central idea of the Cavnar & Trenkle technique is to calculate a "fingerprint" of a document with an unknown category, and compare this with the fingerprints of a number of documents of which the categories @@ -12,7 +12,7 @@ classification. A fingerprint is a list of the most frequent n-grams occurring in a document, ordered by frequency. Fingerprints are compared with a simple out-of-place metric. See the article for more details. - + Considerable effort went into making this implementation fast and efficient. The language guesser processes over 100 documents/second on a simple PC, which makes it practical for many uses. It was developed |