KinoSe...temmer(3pm)

✨ NAME ✨

KinoSearch1::Analysis::Stemmer — bestie, this is the thing that reduces related words down to one shared root 💖

(Also hey, hi, this page lives in the User Contributed Perl Documentation, it's a 3pm manual, and yes we are gonna make stemming make sense, i promise 🫶)

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🌸 SYNOPSIS 🌸

my $stemmer = KinoSearch1::Analysis::Stemmer->new( language => 'es' );

my $polyanalyzer = KinoSearch1::Analysis::PolyAnalyzer->new(
    analyzers => [ $lc_normalizer, $tokenizer, $stemmer ],
);

Look at that. Three little analyzers, one iconic pipeline. Slay. 💅

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🦋 DESCRIPTION 🦋

Okay so here's the whole vibe: stemming takes words and shrinks them down to a root form. Like, "horse", "horses", and "horsing" all just become "hors" 💀 — which is the point, because then when somebody searches for 'horse', the search also matches documents that contain 'horses' and 'horsing'. No cap, that's the whole magic trick. ✨

This class is a wrapper around Lingua::Stem::Snowball, so it supports the same languages. Whatever Snowball can do, this can do. Periodt. 👑

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🎀 METHODS 🎀

🌈 new

Create a new stemmer, queen. It takes a single named parameter, language, and that has to be an ISO two-letter code that Lingua::Stem::Snowball understands. Not a vibe, not a guess — an actual code. 🙈

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💜 COPYRIGHT 💜

Copyright 2005-2010 Marvin Humphrey

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👑 LICENSE, DISCLAIMER, BUGS, etc. 👑

See KinoSearch1 version 1.01.

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And that's a wrap, bestie 🎀 this page comes to you from perl v5.42.3 and it was dated 2026-08-20, printed as KinoSe...temmer(3pm). Go forth and stem responsibly 🧚💖