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Анализ на текстови мрежи×Анализ на словосъчетания×
ОбластИзвличане на текстИзвличане на текст
СемействоProcess / pipelineProcess / pipeline
Година на възникване2011 (Paranyushkin); 2005 (Diesner & Carley)1990
СъздателDmitry Paranyushkin; Jana Diesner & Kathleen M. CarleyChurch & Hanks
ТипText-mining network methodStatistical text-mining technique
Основополагащ източникParanyushkin, 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 ↗
Други названияsemantic network analysis, word co-occurrence network, Metin Ağ Analizi (Text Network Analysis)word association, collocation extraction, Birliktelik Analizi (Collocation Analysis)
Свързани43
РезюмеText 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 от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Text Network Analysis · Collocation Analysis. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare