mirror/freebsd-ports
1
0
Fork 0
mirror of https://git.FreeBSD.org/ports.git synced 2024-11-23 00:43:28 +00:00
Code Issues Releases Activity

Add p5-Search-VectorSpace 0.02, a very basic vector-space search engine

Browse Source 
perl module.

PR:		ports/73150
Submitted by:	clsung
This commit is contained in:
Erwin Lansing 2005-07-18 11:37:53 +00:00
parent 8e5bb0a052
commit 16c825a5ea
Notes: svn2git 2021-03-31 03:12:20 +00:00 
svn path=/head/; revision=139495
5 changed files with 52 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
textproc/Makefile
View File

@ -355,6 +355,7 @@
SUBDIR += p5-Regexp-Log-Common
SUBDIR += p5-SVG
SUBDIR += p5-Search-Saryer
SUBDIR += p5-Search-VectorSpace
SUBDIR += p5-Sort-ArbBiLex
SUBDIR += p5-Sort-Fields
SUBDIR += p5-Sort-Naturally

31
textproc/p5-Search-VectorSpace/Makefile Normal file
View File

@ -0,0 +1,31 @@
# New ports collection makefile for: p5-Search-VectorSpace
# Date created: 2004-10-26
# Whom: clsung
#
# $FreeBSD$
#
PORTNAME= Search-VectorSpace
PORTVERSION= 0.02
CATEGORIES= textproc perl5
MASTER_SITES= ${MASTER_SITE_PERL_CPAN}
MASTER_SITE_SUBDIR= Search
PKGNAMEPREFIX= p5-
MAINTAINER= clsung@FreeBSD.org
COMMENT= A very basic vector-space search engine perl module
BUILD_DEPENDS= ${SITE_PERL}/${PERL_ARCH}/PDL.pm:${PORTSDIR}/math/PDL \
${SITE_PERL}/Lingua/Stem.pm:${PORTSDIR}/textproc/p5-Lingua-Stem
RUN_DEPENDS= ${BUILD_DEPENDS}
PERL_CONFIGURE= yes
MAN3= Search::VectorSpace.3
.include <bsd.port.pre.mk>
.if ${PERL_LEVEL} < 500601
IGNORE= This port requires perl 5.6.x or later. Install lang/perl5 then try again
.endif
.include <bsd.port.post.mk>

2
textproc/p5-Search-VectorSpace/distinfo Normal file
View File

@ -0,0 +1,2 @@
MD5 (Search-VectorSpace-0.02.tar.gz) = adce4a8bded096c925226c5788888900
SIZE (Search-VectorSpace-0.02.tar.gz) = 4251

12
textproc/p5-Search-VectorSpace/pkg-descr Normal file
View File

@ -0,0 +1,12 @@
This module takes a list of documents (in English) and
builds a simple in-memory search engine using a vector
space model. Documents are stored as PDL objects, and
after the initial indexing phase, the search should be
very fast. This implementation applies a rudimentary
stop list to filter out very common words, and uses a
cosine measure to calculate document similarity.
All documents above a user-configurable similarity
threshold are returned.
Author: Maciej Ceglowski <maciej AT ceglowski.com>
WWW: http://search.cpan.org/dist/Search-VectorSpace/

6
textproc/p5-Search-VectorSpace/pkg-plist Normal file
View File

@ -0,0 +1,6 @@
@comment $FreeBSD$
%%SITE_PERL%%/Search/VectorSpace.pm
%%SITE_PERL%%/%%PERL_ARCH%%/auto/Search/VectorSpace/.packlist
@dirrm %%SITE_PERL%%/%%PERL_ARCH%%/auto/Search/VectorSpace
@unexec rmdir %D/%%SITE_PERL%%/%%PERL_ARCH%%/auto/Search 2>/dev/null || true
@unexec rmdir %D/%%SITE_PERL%%/Search 2>/dev/null || true