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| Анализ на словосъчетания× | Лексикално разнообразие× | Анализ на честотата на думите× | |
|---|---|---|---|
| Област | Извличане на текст | Извличане на текст | Извличане на текст |
| Семейство | Process / pipeline | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1990 | — | 1949 |
| Създател≠ | Church & Hanks | — | George K. Zipf (frequency-distribution foundation) |
| Тип≠ | Statistical text-mining technique | Text quantification / lexical richness measurement | Descriptive text-mining analysis |
| Основополагащ източник≠ | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ | 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. DOI ↗ | Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. link ↗ |
| Други названия | 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 |
| Свързани≠ | 3 | 3 | 4 |
| Резюме≠ | 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. |
| ScholarGateНабор от данни ↗ |
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