Comparer des méthodes

	Analyse morphologique	TF-IDF
Domaine	Fouille de textes	Fouille de textes
Famille	Process / pipeline	Process / pipeline
Année d'origine	1980	1988
Auteur d'origine	M.F. Porter (Porter stemmer)	Salton & Buckley
Type	Text-normalisation preprocessing task	Text vectorization / term-weighting scheme
Source fondatrice	Porter, M.F. (1980). An Algorithm for Suffix Stripping. Program, 14(3), 130-137.	Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
Alias	stemming, lemmatization, Morfolojik Analiz ve Kök Bulma	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Apparentées	4	3
Résumé	Morphological analysis splits words into their stems and affixes so that different surface forms of the same word can be treated as one. It covers two complementary approaches — rule-based stemming, such as the Porter (1980) and Snowball algorithms, and dictionary-aware lemmatization — and is a critical text-normalisation step for agglutinative languages such as Turkish and Arabic.	TF-IDF, introduced by Salton and Buckley (1988), is a term-weighting scheme that scores each word in a document by how often it appears there and how rare it is across the whole collection. It turns raw text into weighted document vectors, giving high weight to terms that are frequent in one document but uncommon elsewhere.