Kwalitee Issues


Sign the dist as the last step before creating the archive. Take care not to modify/regenerate dist meta files or the manifest.

Error: WARNING: This key is not certified with a trusted signature! Primary key fingerprint: E86B 8FB6 E0C4 2887 A7DA 7A8E A5EA EE71 D83C B154 --- SIGNATURE Tue Jun 17 05:45:42 2008 +++ (current) Mon Apr 25 09:59:16 2016 @@ -1,22 +1,23 @@ -SHA1 ba4e5e58d7b7541872555dbf9c645b5ac6ec1384 CHANGES +SHA1 a2da6529a845dc62ca9a5a7011eb484d455ec763 CHANGES SHA1 70958a33347444b796982c052bd13b4bd9798903 FDL.txt SHA1 0b184ad51ba2a79e85d2288d5fcf8a1ea0481ea4 GPL.txt -SHA1 ef38cf9dec4d80573f5c0d9dd85a4f2499701443 INSTALL -SHA1 ede185717ff1a548efef0ef667a6aee854662db9 MANIFEST +SHA1 5650829b85875e82c58a2eed54f33395097305a3 INSTALL +SHA1 5ed9419453a1203fe2f171646a0aa68b39a4f699 MANIFEST SHA1 c9b544603a7512c7b537b14128cee263158396ca META.yml -SHA1 f8d410a97a266036f315c458239b662c5009c5ac Makefile.PL -SHA1 bc1603c25a49b17a3f7b2207ab718468a884ff4f README +SHA1 9a7fd17f642b3e90dc77e562121389e824f3f46d Makefile.PL +SHA1 780e0171598be43ad403562144d7dec574a6fcf7 README SHA1 d63f0ae9631e49e3b7f1eb14e520a3e920db24f0 build/Depthfiles.PL SHA1 1a310d730b65c2168655bafb7c946db115f541c9 build/Infocontent.PL -SHA1 766d4cf32e3e8bf31dfea157d0b5a01451891064 doc/changelog.pod +SHA1 b8498ffab9aaf005f8557b4064195b3aa7375b09 doc/changelog.pod SHA1 5a77c8f386eab14d62e173b66908f677ab1bff63 doc/config.pod SHA1 cab0bec0795cf6bf8ebadbc0a48545143631bfb7 doc/developers.pod -SHA1 9d288b70a36fca744a8126adbff5d7022b97d261 doc/install.pod +SHA1 08e46945965dc11f8638efa52fc71701306f06de doc/install.pod SHA1 2dbfc2b603cc18de9d2605bc97ef36b689b65faf doc/intro.pod SHA1 5512495dd8faf091b157730fef7545372583bb5d doc/modules.pod -SHA1 0433bb042e398785582364d5955542da1e9784d9 doc/todo.pod +SHA1 ea03f67152fb6636a1e20acdd7739726f97a5c6c doc/todo.pod +SHA1 10b57f340a26e2755fdf666669b4c49eab53ea69 doc/ SHA1 ed1f555509d7e529c7e00f22aa2844d2de1889fa doc/utils.pod -SHA1 aa4278c02983b2121c820ea12310700eadd47f75 lib/WordNet/ +SHA1 0b93027c952813c105f0ccd41af0314d33490446 lib/WordNet/ SHA1 207475e75450b85eeb5876311812c8ab4506aee3 lib/WordNet/Similarity/ SHA1 ad9ed04a7b8737af4cbe7e7eef0545658870645f lib/WordNet/Similarity/ SHA1 f6cac6cec06d64e69eba92690b92bff7539a5bb5 lib/WordNet/Similarity/ @@ -25,7 +26,7 @@ SHA1 6f4473e8c371d744c5cc31a7b34e27f8bd689003 lib/WordNet/Similarity/ SHA1 2bbe78d972e819b4db5cb2f931428061349d64d3 lib/WordNet/Similarity/ SHA1 0fb5dfeaf0b0176343b7594f78d817df9e5b2ea7 lib/WordNet/Similarity/ -SHA1 5b3ba5525d4c4da1c9acc5fa6eb7482ef98681a1 lib/WordNet/Similarity/ +SHA1 e4dacb23958284c2d86a15adbed24367ed895443 lib/WordNet/Similarity/ SHA1 5fd5b191b124224dfe04515a013b74e16b3f4d7c lib/WordNet/Similarity/ SHA1 b4e0393bc49cfcb197e4f8c271d0d2a54387e10c lib/WordNet/Similarity/ SHA1 7a4806f5b002f48472ece309a8e7820240b685cb lib/WordNet/Similarity/ @@ -64,7 +65,7 @@ SHA1 f2f7bf4f916f7f2b110378a3468a30f79ce5b9e5 samples/wn30compounds.txt SHA1 43f4218113b42c88c285e649e565f513ec280abe t/ICFinder.t SHA1 fc97ba4410f5219e1235b420bddc1ab9ee34bcfd t/PathFinder.t -SHA1 3d34f4ed2245bcc474134d653b82fd43d17928ab t/README +SHA1 13f5dbb84e434b7f9f2853c1cf5568d2b5b95954 t/README SHA1 d23959fd7ece359aecc8db35449bacac93fe178f t/access.t SHA1 3dd600a5b2aae78fa8267b732ab3d9a09a2dfe48 t/config/all.t SHA1 ca7a466198ee6a3e79a32b92f3741e31b31e89ea t/config/invalid.t @@ -381,7 +382,7 @@ SHA1 381d05d7b08899972956ccea4ea286a0d78ec937 t/keys/lchtrace.key SHA1 c14779a39b823f5417c08b68ec2608e48caa2bf6 t/keys/leskpairs.key SHA1 45c9eee31fe19d0e9b953055b3f424948f20f210 t/keys/leskpairs_nr.key -SHA1 1673a85eddd2de8240946d307077b38046cc26e0 t/keys/lesktrace.key +SHA1 034c4ed5ff18bbf94b1afe6feda298b76c458fe5 t/keys/lesktrace.key SHA1 fe22555d4b45deaf311702a993e7541e1b5cc7ff t/keys/linpairs.key SHA1 e2f89b788699d78ce6ac03ddecccc5392149138d t/keys/linpairs_nr.key SHA1 3ba1834c9961cdfa44f547d52a89a9b3e4459cf3 t/keys/lintrace.key @@ -441,7 +442,7 @@ SHA1 f93a809df3fcd5447008ebff812d7af6dd768e9a utils/ SHA1 1afbb56ec262669334b6b564bdef529f755f35ce utils/ SHA1 815d9356377271ed2ba1761b1c9f5eaecf5e2be1 utils/ -SHA1 c1801b0e3cdb6983c6bac429a330f0d110419045 utils/ +SHA1 a72261e0393f2bcf2b78cf11ef9a6bc2d6593ec1 utils/ SHA1 711d2f0086a39cfce8941ea28e4a6f5d7a704a44 utils/ SHA1 4513ce75cefc3ba805b33c7e99f5ec63aba67b69 web/README SHA1 73f3e6aeb90c1807b2f5e3e81b2d67207bc7ce3a web/cgi-bin/similarity.cgi ==> MISMATCHED content between SIGNATURE and distribution files! <==


Split the distribution, or fix the version numbers to make them consistent (use the highest version number to avoid version downgrade).

Error: 2.04,2.05,2.07


Add a META.json to the distribution. Your buildtool should be able to autogenerate it.


If you are using Build.PL define the {requires}{perl} = VERSION field. If you are using MakeMaker (Makefile.PL) you should upgrade ExtUtils::MakeMaker to 6.48 and use MIN_PERL_VERSION parameter. Perl::MinimumVersion can help you determine which version of Perl your module needs.


Add 'use warnings' (or its equivalents) to all modules (this will require perl > 5.6), or convince us that your favorite module is well-known enough and people can easily see the modules warn when something bad happens.

Error: WordNet::Similarity, WordNet::Similarity::FrequencyCounter, WordNet::Similarity::hso, WordNet::Similarity::lch, WordNet::Similarity::lin, WordNet::Similarity::path, WordNet::Similarity::random, WordNet::Similarity::res, WordNet::Similarity::vector, WordNet::Similarity::vector_pairs, WordNet::get_wn_info, WordNet::stem, WordNet::vectorFile


This is not a critical issue. Currently mainly informative for the CPANTS authors. It might be removed later.


Add all modules contained in this distribution to the META.yml field 'provides'. Module::Build or Dist::Zilla::Plugin::MetaProvides do this automatically for you.


Add a 'repository' resource to the META.yml via 'meta_add' accessor (for Module::Build) or META_ADD parameter (for ExtUtils::MakeMaker).


Name Abstract Version View
WordNet::Similarity Perl modules for computing measures of semantic relatedness. 2.07 metacpan
WordNet::Similarity::DepthFinder methods to find the depth of synsets in WordNet taxonomies 2.04 metacpan
WordNet::Similarity::FrequencyCounter Support functions for frequency counting programs used to estimate the information content of concepts. 2.05 metacpan
WordNet::Similarity::GlossFinder module to implement gloss finding methods for WordNet::Similarity measures of semantic relatedness (specifically, lesk and vector) 2.04 metacpan
WordNet::Similarity::ICFinder a module for finding the information content of concepts in WordNet 2.04 metacpan
WordNet::Similarity::PathFinder module to implement path finding methods (by node counting) for WordNet::Similarity measures of semantic relatedness 2.04 metacpan
WordNet::Similarity::hso Perl module for computing semantic relatedness of word senses using the method described by Hirst and St-Onge (1998). 2.04 metacpan
WordNet::Similarity::jcn Perl module for computing semantic relatedness of word senses according to the method described by Jiang and Conrath (1997). 2.04 metacpan
WordNet::Similarity::lch Perl module for computing semantic relatedness of word senses using the method described by Leacock and Chodorow (1998). 2.04 metacpan
WordNet::Similarity::lesk Perl module for computing semantic relatedness of word senses using gloss overlaps as described by Banerjee and Pedersen (2002) -- a method that adapts the Lesk approach to WordNet. 2.04 metacpan
WordNet::Similarity::lin Perl module for computing semantic relatedness of word senses using the information content based measure described by Lin (1998). 2.04 metacpan
WordNet::Similarity::path Perl module for computing semantic relatedness of word senses by counting nodes in the noun and verb WordNet 'is-a' hierarchies. 2.04 metacpan
WordNet::Similarity::random Perl module for computing semantic relatedness of word senses using a random measure. 2.04 metacpan
WordNet::Similarity::res Perl module for computing semantic relatedness of word senses using an information content based measure described by Resnik (1995). 2.04 metacpan
WordNet::Similarity::vector Perl module for computing semantic relatedness of word senses using second order co-occurrence vectors of glosses of the word senses. 2.04 metacpan
WordNet::Similarity::vector_pairs module for computing semantic relatedness of word senses using second order co-occurrence vectors of glosses of the word senses. 2.04 metacpan
WordNet::Similarity::wup Perl module for computing semantic relatedness of word senses using the edge counting method of the of Wu & Palmer (1994) 2.04 metacpan
WordNet::Tools Some tools for use with WordNet. 2.05 metacpan
WordNet::get_wn_info Provides access to glosses related to a concept in WordNet 2.04 metacpan
WordNet::stem Module that find the stem of a word or the stems of a string of words, using WordNet. 2.04 metacpan
WordNet::vectorFile Provides access to the word vectors database (used by the vector and vector_pairs WordNet::Similarity measures). 2.04 metacpan

Other Files

MANIFEST metacpan
META.yml metacpan
Makefile.PL metacpan
README metacpan