Date: Fri, 15 Jun 2018 07:56:41 +0000 (UTC) From: Yuri Victorovich <yuri@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r472431 - in head/textproc: . py-orange3-text Message-ID: <201806150756.w5F7ufHX046776@repo.freebsd.org>
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Author: yuri Date: Fri Jun 15 07:56:41 2018 New Revision: 472431 URL: https://svnweb.freebsd.org/changeset/ports/472431 Log: New port: textproc/py-orange3-text: Text Mining add-on for Orange3 Added: head/textproc/py-orange3-text/ head/textproc/py-orange3-text/Makefile (contents, props changed) head/textproc/py-orange3-text/distinfo (contents, props changed) head/textproc/py-orange3-text/pkg-descr (contents, props changed) Modified: head/textproc/Makefile Modified: head/textproc/Makefile ============================================================================== --- head/textproc/Makefile Fri Jun 15 07:34:49 2018 (r472430) +++ head/textproc/Makefile Fri Jun 15 07:56:41 2018 (r472431) @@ -1335,6 +1335,7 @@ SUBDIR += py-nltk SUBDIR += py-numpydoc SUBDIR += py-openpyxl + SUBDIR += py-orange3-text SUBDIR += py-pager SUBDIR += py-pandocfilters SUBDIR += py-paragrep Added: head/textproc/py-orange3-text/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/textproc/py-orange3-text/Makefile Fri Jun 15 07:56:41 2018 (r472431) @@ -0,0 +1,37 @@ +# $FreeBSD$ + +PORTNAME= orange3-text +DISTVERSION= 0.3.0 +CATEGORIES= textproc python +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Text Mining add-on for Orange3 + +LICENSE= AGPLv3 + +RUN_DEPENDS= orange3>0:misc/orange3 \ + ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}beautifulsoup>0:www/py-beautifulsoup@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}biopython>0:biology/py-biopython@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}docx2txt>=0.6:textproc/py-docx2txt@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}gensim>=0.12.3:textproc/py-gensim@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}lxml>0:devel/py-lxml@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}nltk>=3.0.5:textproc/py-nltk@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}odfpy>=1.3.5:devel/py-odfpy@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pdfminer3k>0:textproc/py-pdfminer3k@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scikit-learn>0:science/py-scikit-learn@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}simhash>0:math/py-simhash@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}tweepy>0:net/py-tweepy@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}validate_email>0:mail/py-validate_email@${FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}wikipedia>0:www/py-wikipedia@${FLAVOR} +py34_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}typing>0:devel/py-typing@${FLAVOR} + +USES= python:3.4+ +USE_GITHUB= yes +GH_ACCOUNT= biolab +USE_PYTHON= distutils autoplist +NO_ARCH= yes + +.include <bsd.port.mk> Added: head/textproc/py-orange3-text/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/textproc/py-orange3-text/distinfo Fri Jun 15 07:56:41 2018 (r472431) @@ -0,0 +1,3 @@ +TIMESTAMP = 1529046782 +SHA256 (biolab-orange3-text-0.3.0_GH0.tar.gz) = 188f0ed04b1e18ca3ff48835b1ba8979a4fc39826eb1c97c2e9128d3227df36e +SIZE (biolab-orange3-text-0.3.0_GH0.tar.gz) = 22427721 Added: head/textproc/py-orange3-text/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/textproc/py-orange3-text/pkg-descr Fri Jun 15 07:56:41 2018 (r472431) @@ -0,0 +1,9 @@ +Orange3 Text extends Orange3, a data mining software package, with common +functionality for text mining. It provides access to publicly available data, +like NY Times, Twitter, Wikipedia and PubMed. Furthermore, it provides tools +for preprocessing, constructing vector spaces (like bag-of-words, topic +modeling, and similarity hashing) and visualizations like word cloud end geo +map. All features can be combined with powerful data mining techniques from +the Orange data mining framework. + +WWW: https://github.com/biolab/orange3-text
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