Linganisha mbinu

	Uchanganuzi wa Anuwai ya Leksikali	TF-IDF
Nyanja	Uchimbaji wa Matini	Uchimbaji wa Matini
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	—	1988
Mwanzilishi	—	Salton & Buckley
Aina	Text quantification / lexical richness measurement	Text vectorization / term-weighting scheme
Chanzo asilia	McCarthy, P. M. & Jarvis, S. (2010). MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment. Behavior Research Methods, 42(2), 381-392.	Salton, G. & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513-523.
Majina mbadala	lexical richness, vocabulary richness, Sözcüksel Çeşitlilik Analizi	term weighting, tf-idf weighting, TF-IDF Vektörizasyonu
Zinazohusiana	3	3
Muhtasari	Lexical diversity analysis quantifies how varied the vocabulary of a text is — how rich an author's word choice is — using measures such as the type-token ratio (TTR), MTLD, vocd-D, and Yule's K. The MTLD and vocd-D measures were validated by McCarthy and Jarvis (2010), building on earlier work by Tweedie and Baayen (1998) on the stability of lexical-richness measures.	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.