Сравнение на методи

	Анализ на четимост	TF-IDF
Област	Извличане на текст	Извличане на текст
Семейство	Process / pipeline	Process / pipeline
Година на възникване	1975	1988
Създател	J. Peter Kincaid et al.	Salton & Buckley
Тип	Text-mining readability scoring task	Text vectorization / term-weighting scheme
Основополагащ източник	Kincaid, J.P., Fishburne, R.P., Rogers, R.L. & Chissom, B.S. (1975). Derivation of New Readability Formulas for Navy Enlisted Personnel. Naval Technical Training Command.	Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
Други названия	readability scoring, readability formulas, Flesch-Kincaid analysis, Okunabilirlik Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Свързани	3	3
Резюме	Readability analysis measures how well a text suits its intended audience by applying established readability formulas such as Flesch-Kincaid and Gunning Fog. The modern formula family was derived by Kincaid and colleagues in 1975, and it turns prose into a single score or target reading-grade level that signals how easy the text is to read.	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.