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#
# spec file for package libtextcat (Version 2.2)
#
# Copyright (c) 2007 SUSE LINUX Products GmbH, Nuernberg, Germany.
# This file and all modifications and additions to the pristine
# package are under the same license as the package itself.
#
# Please submit bugfixes or comments via http://bugs.opensuse.org/
#

# norootforbuild

Name:           libtextcat
Version:        2.2
Release:        0
#
License:        BSD
Group:          Development/Languages/C and C++
#
BuildRoot:      %{_tmppath}/%{name}-%{version}-build
#
Url:            http://software.wise-guys.nl/libtextcat/
Source:         http://software.wise-guys.nl/download/libtextcat-%{version}.tar.gz
#
Summary:        Library for text classification

%description
Libtextcat is a library with functions that implement the classification
technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization"
[1]. 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 are known. The
categories of the closest matches are output as the 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 for use in our webcrawler
and search engine software, in which it it handles millions of documents a day.

Authors:
--------
    Frank Scheelen

%package devel
Group:          Development/Languages/C and C++
Requires:       %{name} = %{version}
#
Summary:        Development files for libtextcat

%description devel
Libtextcat is a library with functions that implement the classification
technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization"
[1]. It was primarily developed for language guessing, a task on which it is
known to perform with near-perfect accuracy.

This package holds the development files for libtextcat.

Authors:
--------
    Frank Scheelen

%debug_package
%prep
%setup
find -type d -name CVS -print0 | xargs -r0 rm -rv

%build
%configure
%{__make}

%install
%makeinstall
#  install missing header file
install -D -m 644 src/textcat.h %{buildroot}%{_includedir}/textcat.h
# Configuration and language files
%{__install} -d -m 0755 %{buildroot}%{_datadir}/%{name}
%{__cp} -av langclass/conf.txt langclass/LM langclass/ShortTexts %{buildroot}%{_datadir}/%{name}/

%clean
%{__rm} -rf %{buildroot}

%files
%defattr(-,root,root,-)
%{_bindir}/createfp
%{_libdir}/libtextcat.so.0
%{_libdir}/libtextcat.so.0.0.0
%{_datadir}/%{name}/
%doc ChangeLog LICENSE README TODO

%files devel
%defattr(-,root,root,-)
%{_libdir}/libtextcat.a
%{_libdir}/libtextcat.la
%{_libdir}/libtextcat.so
%{_includedir}/textcat.h

%changelog