Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Teksta tīklu analīze× | Kolokāciju analīze× | |
|---|---|---|
| Nozare | Teksta ieguve | Teksta ieguve |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2011 (Paranyushkin); 2005 (Diesner & Carley) | 1990 |
| Autors≠ | Dmitry Paranyushkin; Jana Diesner & Kathleen M. Carley | Church & Hanks |
| Tips≠ | Text-mining network method | Statistical text-mining technique |
| Pirmavots≠ | Paranyushkin, D. (2011). Identifying the Pathways for Meaning Circulation Using Text Network Analysis. Nodus Labs. link ↗ | Church, K.W. & Hanks, P. (1990). Word Association Norms, Mutual Information, and Lexicography. Computational Linguistics, 16(1), 22-29. link ↗ |
| Citi nosaukumi | semantic network analysis, word co-occurrence network, Metin Ağ Analizi (Text Network Analysis) | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) |
| Saistītās≠ | 4 | 3 |
| Kopsavilkums≠ | Text network analysis models the words or concepts in a text as nodes and their co-occurrences as edges, then uses network metrics to reveal the structure of meaning. The approach was advanced by Diesner and Carley (2005) for communication networks and by Paranyushkin (2011) for tracing the pathways of meaning circulation in text. | 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. |
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