Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Teksta tīklu analīze× | Teksta biežuma analīze× | |
|---|---|---|
| Nozare | Teksta ieguve | Teksta ieguve |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2011 (Paranyushkin); 2005 (Diesner & Carley) | 1949 |
| Autors≠ | Dmitry Paranyushkin; Jana Diesner & Kathleen M. Carley | George K. Zipf (frequency-distribution foundation) |
| Tips≠ | Text-mining network method | Descriptive text-mining analysis |
| Pirmavots≠ | Paranyushkin, D. (2011). Identifying the Pathways for Meaning Circulation Using Text Network Analysis. Nodus Labs. link ↗ | Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. link ↗ |
| Citi nosaukumi | semantic network analysis, word co-occurrence network, Metin Ağ Analizi (Text Network Analysis) | word frequency analysis, n-gram frequency analysis, Metin Frekans Analizi |
| Saistītās | 4 | 4 |
| 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. | 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. |
| ScholarGateDatu kopa ↗ |
|
|