Result for 5BCED4A9288B2A327A856594E3E9C03B97407EE0

Query result

Key Value
FileName./usr/lib64/libstemmer.so.0.0.0
FileSize345184
MD5DB845FDD113ACE5E2005CF86E50CA8CE
SHA-15BCED4A9288B2A327A856594E3E9C03B97407EE0
SHA-256ECF01A2082CD83E13F1E894A718B7A0A492AA4AEB07C0EAA36B318321E928D82
SSDEEP3072:RK6xtnUBD0/S29JKOWeX7IqYlSiueaKxSJbCSEF8:J8I629JKTeX7ICe3SFCSE
TLSHT1BC74F906FA81DC2ECD7486724D6AC2F17AB1B8898F12D21B3058B73C7D379968B5E4D1
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

The searched file hash is included in 1 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 It also provides access to the classic Porter stemming algorithm for English: although this has been superseded by an improved algorithm, the original algorithm may be of interest to information retrieval researchers wishing to reproduce results of earlier experiments.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