เปรียบเทียบวิธี

	Keyword-in-Context (KWIC) Analysis	การวิเคราะห์คำคู่
สาขาวิชา	ภาษาศาสตร์	การทำเหมืองข้อความ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1960	1990
ผู้ริเริ่ม	H. P. Luhn (information retrieval); adopted in corpus linguistics by John Sinclair	Church & Hanks
ประเภท	Indexing and display technique aligning a keyword with its surrounding co-text	Statistical text-mining technique
แหล่งต้นตำรับ	Luhn, H. P. (1960). Key word-in-context index for technical literature (KWIC index). American Documentation, 11(4), 288–295.	Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29.
ชื่อเรียกอื่น	KWIC Index, Key Word in Context, Concordance Line Display	word association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
ที่เกี่ยวข้อง	4	3
สรุป	Keyword-in-context (KWIC) analysis is the indexing and display technique that presents every occurrence of a chosen keyword aligned in a fixed central column, flanked by a set span of the words that precede and follow it. Invented by H. P. Luhn in 1960 to index technical literature, the KWIC format became the standard way to read a concordance: by stacking instances of the keyword so they line up vertically, it lets an analyst scan the surrounding co-text for recurrent neighbors and patterns. It is the specific display layer underlying broader corpus concordance work, valued because alignment turns a list of scattered occurrences into a visually legible pattern. Today KWIC views are the default output of every corpus-analysis tool and the entry point for studying collocation, colligation, and meaning in context.	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.