Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kolokāciju analīze× | Teksta biežuma analīze× | |
|---|---|---|
| Nozare | Teksta ieguve | Teksta ieguve |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1990 | 1949 |
| Autors≠ | Church & Hanks | George K. Zipf (frequency-distribution foundation) |
| Tips≠ | Statistical text-mining technique | Descriptive text-mining analysis |
| Pirmavots≠ | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ | Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. link ↗ |
| Citi nosaukumi | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) | word frequency analysis, n-gram frequency analysis, Metin Frekans Analizi |
| Saistītās≠ | 3 | 4 |
| Kopsavilkums≠ | 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. | 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. |
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