Result for 3D11AFAC349720C256FC180F4906369DBE02453E

Query result

Key Value
CRC32EABDB84A
FileNameBSD.txt
FileSize1364
MD5597E92BE5852502C731F1DAC2ABEC006
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'Operating System', 'Language': 'English', 'MfgCode': '2194', 'OpSystemCode': '51', 'ProductCode': '17393', 'ProductName': 'Fedora 23 Server 32-bit', 'ProductVersion': '2015'}
RDS:package_id293705
SHA-13D11AFAC349720C256FC180F4906369DBE02453E
SHA-256B0636E608B4C41576C6B1F75D419DAE56A6349AB3B433532B01073AB1A969D9E
SSDEEP24:QrUnezoLbOOrYFT5JYrYFTzL790432smEOkus8WROL32s3yxtTfy13tT+ZlTHv:Q6OOrYJQrYJzF0432sBG32s3Etm13t6L
SpecialCode
TLSHT15F21669B11040BEB5AE2179135566EC4A0DDD02D3B236D041C6EF384573B42DD8BB041
dbnsrl_modern_rds
insert-timestamp1678966610.4121966
sourceRDS.db
hashlookup:parent-total46
hashlookup:trust100

Network graph view

Parents (Total: 46)

The searched file hash is included in 46 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD592ED8C2616C2FBEBDB584BE7BF18D146
PackageArchx86_64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease16.585svn.fc34
PackageVersion0
SHA-101A78C77BF1726945FC20C1A65872B4B56B1B96D
SHA-256A3F4EC55C3E192431A0B358D55170309029D66B82AD9AFD13A5C44D48AA4C818
Key Value
MD594492283F9722B4361CCCE79BCB0CCB5
PackageArchx86_64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamelibstemmer
PackageRelease10.585svn.el8
PackageVersion0
SHA-1088B8504095D567C341FB83B1822DDB6A8F24D1E
SHA-2569B121A03314F1F0822A58059EFBA09944DF192C35E22267F39137F70A28CDA1C
Key Value
MD52805246AF610503CDB4346819EDDE356
PackageArcharmv7hl
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease14.585svn.fc32
PackageVersion0
SHA-110243D58B22D2DBA4B00BC97D458FAB99BFF3688
SHA-2563DA0D8F82EB59624CAFD787540193395971E6392CDDF7238A994B991C0B1BB9D
Key Value
MD5637BD66F97E1ADD73634142421CEE151
PackageArchppc64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease3.585svn.fc23
PackageVersion0
SHA-114670FD8559E5D74DF5AA0DF305D5CE516D076AC
SHA-2568E9EA1F3E88AF3B7FBC92C78BAE73BC98F86D0B9D98186ED6245C76AD08E1D50
Key Value
MD52BEED56149A2221ACA5D0BD655881854
PackageArcharmv7hl
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease16.585svn.fc34
PackageVersion0
SHA-115D989BFF179F53E0177FE9B5F8898FE57C928D1
SHA-256460FD9CE552A885DE152478A3CEA12AC9C9FC1D1B7CAFCDA6BF3DD5D2A22CEF6
Key Value
MD57B2B9297A362A782C1561D3CB97CA22D
PackageArchi686
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease14.585svn.fc32
PackageVersion0
SHA-11B669955D0DA174D0D359A70D797A848ECE892AC
SHA-25690359868E19EE09C7E700B51F02267FBC16F89B5ED9574E0DAF6F7D913CF9A83
Key Value
MD50430813C757FCB424A9D249001B686EE
PackageArcharmv7hl
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease15.585svn.fc33
PackageVersion0
SHA-11C0EBBDBFDA135AF47C4AE4F6B36041FEBAC6B56
SHA-25614CC6EC7456905763F295A57239EEDCEF6BB197356D2D7ED6B9BD40863020A75
Key Value
MD543E88799F0463FCC51F94B33C56B70A3
PackageArchaarch64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.el7
PackageVersion0
SHA-11F72CA74F44EFE01065ED31A677F255518D96EC9
SHA-256FE83CC90B4EC8CEBEB0837D0D1BA78C8DDECCDB1F368A9832342ECE6E08A4380
Key Value
MD5DC33B322080CDEA54A94293BD399B4B8
PackageArchs390x
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.fc22
PackageVersion0
SHA-12F57B23977927A1A383DD784FCD0DBA0751D188D
SHA-2565662D624AD0397CC053D0EF71B3017A101B88C6B5E6D0ABFD73C160F1EC57BA5
Key Value
MD5148B301CA41A1FB957122AD9FEBCB5D4
PackageArchppc64
PackageDescriptionSnowball stemming algorithms for use in Information Retrieval Snowball provides access to efficient algorithms for calculating a "stemmed" form of a word. This is a form with most of the common morphological endings removed; hopefully representing a common linguistic base form. This is most useful in building search engines and information retrieval software; for example, a search with stemming enabled should be able to find a document containing "cycling" given the query "cycles". Snowball provides algorithms for several (mainly European) languages. It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.
PackageMaintainerFedora Project
PackageNamelibstemmer
PackageRelease2.585svn.fc22
PackageVersion0
SHA-12F6906B0B9F9C6D4232890131AACFE79764B1A04
SHA-25618FE87EC856B94FE6D94C7AF497EC2D3DB11A1C851AF9DB38A352498C6049F10