So sánh phương pháp

	Phân tích từ ngữ cố định	Độ đa dạng từ vựng	Phân tích tần suất văn bản
Lĩnh vực	Khai phá văn bản	Khai phá văn bản	Khai phá văn bản
Họ	Process / pipeline	Process / pipeline	Process / pipeline
Năm ra đời	1990	—	1949
Người khởi xướng	Church & Hanks	—	George K. Zipf (frequency-distribution foundation)
Loại	Statistical text-mining technique	Text quantification / lexical richness measurement	Descriptive text-mining analysis
Công trình gốc	Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29.	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.	Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley.
Tên gọi khác	word association, collocation extraction, Birliktelik Analizi (Collocation Analysis)	lexical richness, vocabulary richness, Sözcüksel Çeşitlilik Analizi	word frequency analysis, n-gram frequency analysis, Metin Frekans Analizi
Liên quan	3	3	4
Tóm tắt	Collocation analysis is a statistical text-mining technique that identifies word pairs or expressions that frequently occur together, using association measures rather than chance co-occurrence. Introduced in the lexicography work of Church and Hanks (1990), it is used for terminology extraction and language analysis, surfacing the multi-word units that carry meaning in a corpus.	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.	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.