Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Текстовый сетевой анализ× | Коллокационный анализ× | |
|---|---|---|
| Область | Интеллектуальный анализ текста | Интеллектуальный анализ текста |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2011 (Paranyushkin); 2005 (Diesner & Carley) | 1990 |
| Автор метода≠ | Dmitry Paranyushkin; Jana Diesner & Kathleen M. Carley | Church & Hanks |
| Тип≠ | Text-mining network method | Statistical text-mining technique |
| Основополагающий источник≠ | 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 ↗ |
| Другие названия | semantic network analysis, word co-occurrence network, Metin Ağ Analizi (Text Network Analysis) | word association, collocation extraction, Birliktelik Analizi (Collocation Analysis) |
| Связанные≠ | 4 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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