Methoden vergelijken

	Tekstanalyse op basis van netwerken	Tekstfrequentieanalyse
Vakgebied	Tekstmining	Tekstmining
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	2011 (Paranyushkin); 2005 (Diesner & Carley)	1949
Grondlegger	Dmitry Paranyushkin; Jana Diesner & Kathleen M. Carley	George K. Zipf (frequency-distribution foundation)
Type	Text-mining network method	Descriptive text-mining analysis
Oorspronkelijke bron	Paranyushkin, D. (2011). Identifying the Pathways for Meaning Circulation Using Text Network Analysis. Nodus Labs.	Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley.
Aliassen	semantic network analysis, word co-occurrence network, Metin Ağ Analizi (Text Network Analysis)	word frequency analysis, n-gram frequency analysis, Metin Frekans Analizi
Verwant	4	4
Samenvatting	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.