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Lemmatization na Stemming

Ịkwụsị na lemmatization ma na-ebelata okwu n'ụdị ntọala ka e wee were 'ịgba ọsọ', 'agba ọsọ' na 'agba ọsọ' dị ka otu echiche.

2 nkeji na-agụEmelitere ikpeazụ

Nchịkọta

They matter because collapsing word variations improves search, indexing, and text analysis.

Ime miri emi

Stemming na lemmatization bụ usoro nhazigharị nke na-ewepụ okwu dị iche iche ruo na mgbọrọgwụ nkịtị. Stemming na-eji ngwa ngwa heuristics dabere na iwu nke na-egbutu suffixes; onye na-ewu ewu Porter stemmer na-atụgharị 'na-agba ọsọ' ka ọ bụrụ 'ọsọ' na 'ọmụmụ' n'ime 'studi', n'ihi ya, mmepụta ya abụghị mgbe niile n'ezie okwu. Lemmatization dị mma karịa: ọ na-eji akwụkwọ ọkọwa okwu na ozi akụkụ nke okwu na-akọwapụta otu okwu n'ụdị ọkọwa okwu ya, ma ọ bụ lemma, yabụ 'mma' na-aghọ 'mma' na 'bụ' na-aghọ 'ịbụ'. Lemmatization bụ ihe ziri ezi mana ọ dị nwayọ ma chọọ akụrụngwa asụsụ dịka WordNet. Ha abụọ na-ebelata oke okwu, na-enyere ngwa nchọta aka dakọtara ajụjụ na akwụkwọ na ibelata sparsity data na ụdị ala, n'agbanyeghị lemmatization na-echekwa ihe pụtara n'ikwesị ntụkwasị obi.

Nghọta nka nka

A stemmer na-etinye iwu mwepu nbibi (dịka ọmụmaatụ, usoro Porter algọridim nke na-ewepụ '-ing', '-ed', '-s'), na-eme ka ọ dị ngwa mana ọ dị nro. Onye na-ahụ maka lemmatizer na-eleba anya n'okwu elu n'ime akwụkwọ ọkọwa okwu morphological wee jiri akụkụ okwu ahụ họrọ lemma ziri ezi; na-enweghị POS, 'saw' nwere ike maapụ 'hụ' (ngwaa) ma ọ bụ nọrọ 'saw' (noun). Nke a bụ ya mere ndị na-agụ akwụkwọ dị ka spaCy ma ọ bụ ngwa WordNet na-ebu ụzọ kpado akụkụ nke okwu.

Mmetụta atụmatụ

Ọsọ na ọnụ ọgụgụ

Usoro ọrụ asụsụ nwere ike ịga ngwa ngwa n'achụghị nkwụsi ike.

Nweta na iru

Ọ na-agbasawanye ohere n'ofe asụsụ na ụdị nzikọrịta ozi.

Mkpebi doro anya

Ndị otu nwere ike itinyekwu oge na ikpe ebe akpaaka na-ejikwa nkwughachi.

Ọdịnihu nke Lemmatization na Stemming

Ụdị ihe ngbanwe ọgbara ọhụrụ na-adaberekarị na ntinye okwu subword (dị ka Byte-Pair Encoding) kama ịsụpụta nke ọma, ịmụta morphology n'ezoghị ọnụ. N'ihi nke a, steeming oge gboo na-ebelata n'ime pipeline mmụta miri emi mana ọ ka bara uru na nchọta dị fechaa, iweghachite ozi, yana ntọala nwere ikike. Na-atụ anya ka a na-aga n'ihu na NLP ọdịnala na nchọta ọchụchọ, gbakwunyere lemmatizer asụsụ ọtụtụ asụsụ ka mma maka asụsụ bara ụba nke ụdị ebe nbibi suffix dị mfe dara.

Mmejuputa n'ezie n'ụwa

Ngwa ọchụchọ na-egosi 'njikọ', 'njikọ', na 'njikọ' n'okpuru otu stem ka ajụjụ dabara na ha niile.

Spam na nkesa mmetụta na-ebelata oke okwu iji belata nhụta data

Nchọ akwụkwọ iwu ma ọ bụ ọgwụ na-eji lemmatization dabara na 'nchoputa' na 'chọpụtara'

Nleba anya okwu-ugboro ebe a na-ejikọta ụdị emetụtara na lemmas ntọala

Ihe ize ndụ & okporo ụzọ nche

Eziokwu ndị e chepụtara echepụta nwere ike jiri nwayọ tinye akụkọ, nkwado nkwado, ma ọ bụ nsonaazụ nyocha.

Mmetụta ngwa ngwa nwere ike ịmepụta nsonaazụ na-ekwekọghị ekwekọ n'ofe arịrịọ ndị yiri ya.

Enwere ike ikpughe data ederede nwere mmetụta ma ọ bụrụ na njikwa ohere adịghị ike.

Map mmejuputa

1

Kọwaa usoro mmepụta, ụda, na ụkpụrụ ịdịmma tupu ibugharị.

2

Weghachite nzaghachi site na isi mmalite ntụkwasị obi mgbe ọ bụla izi ezi dị mkpa.

3

Debe ebe nleba anya mmadụ maka mpụta dị elu.

4

Sochie ụkpụrụ ọdịda ma na-azụghachi mkpali ma ọ bụ usoro ọrụ mgbe niile.

Nọgide na-eme nchọpụta

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Ajụjụ a na-ajụkarị

What is Lemmatization and Stemming?

Ịkwụsị na lemmatization ma na-ebelata okwu n'ụdị ntọala ka e wee were 'ịgba ọsọ', 'agba ọsọ' na 'agba ọsọ' dị ka otu echiche. Ha dị mkpa n'ihi na ndakpọ okwu dị iche iche na-eme ka ọchụchọ, ndenye aha na nyocha ederede dịkwuo mma.

Kedu ihe dị iche n'etiti stemming na lemmatization?

Stemming chops suffixes na heuristics ma nwee ike iwepụta ndị na-abụghị okwu; lemmatization na-eji akwụkwọ ọkọwa okwu na POS weghachite ụdị ntọala dabara adaba.

Kedu ihe Porter stemmer nwere ike ịpụta maka okwu 'ọmụmụ'?

Porter stemmer na-ewepụ suffix ahụ wee wepụta 'studi' nke na-abụghị okwu n'ezie, na-egosi na ị ga-achọghị ịbụ okwu ziri ezi.

Onye lemmatizer ga-esepụta okwu 'ka mma' nke lemma?

Lemmatization na-ejikwa ụdị oge niile, na-aghọta na 'mma' bụ ntụnyere 'ezigbo'.

Kedu ihe kpatara onye lemmatizer ji achọ ozi akụkụ nke okwu?

Okwu dị ka 'hụrụ' maapụ dị iche iche dabere ma ha bụ aha ma ọ bụ ngwaa, yabụ POS na-eduzi nhọrọ lemma.

Kedu nke na-abụkarị EZIOKWU gbasara stemming ma e jiri ya tụnyere lemmatization?

Stemming na-eji ngwa ngwa heuristics, ịzụ ahịa ziri ezi maka ọsọ, ebe lemmatization bụ ihe ziri ezi karịa mana ọ dị arọ.