Confronta i metodi

	Analisi Morfologica	TF-IDF
Campo	Text mining	Text mining
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	1980	1988
Ideatore	M.F. Porter (Porter stemmer)	Salton & Buckley
Tipo	Text-normalisation preprocessing task	Text vectorization / term-weighting scheme
Fonte seminale	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
Correlati	4	3
Sintesi	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.