Salīdzināt metodes

	Teksta biežuma analīze	TF-IDF
Nozare	Teksta ieguve	Teksta ieguve
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1949	1988
Autors	George K. Zipf (frequency-distribution foundation)	Salton & Buckley
Tips	Descriptive text-mining analysis	Text vectorization / term-weighting scheme
Pirmavots	Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley.	Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
Citi nosaukumi	word frequency analysis, n-gram frequency analysis, Metin Frekans Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Saistītās	4	3
Kopsavilkums	Text frequency analysis is a descriptive text-mining method that counts how often words, n-grams, and phrases occur in a corpus to reveal content patterns and dominant themes. It rests on the frequency-distribution insight formalised by George K. Zipf (1949), that a few terms occur very often while most are rare, and it is one of the most basic and widely used entry points into quantitative text analysis.	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.