ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Semantic Network Analysis×LIWC Text Analysis×
OborCommunicationCommunication
RodinaProcess / pipelineProcess / pipeline
Rok vzniku19992001
TvůrceGeorge Barnett, Marya Doerfel, Steven Corman (communication applications)James W. Pennebaker and colleagues
TypNetwork representation of concepts and their co-occurrence in textDictionary-based quantitative text analysis
Původní zdrojCorman, S. R., Kuhn, T., McPhee, R. D., & Dooley, K. J. (2002). Studying complex discursive systems: Centering resonance analysis of communication. Human Communication Research, 28(2), 157–206. DOI ↗Tausczik, Y. R., & Pennebaker, J. W. (2010). The psychological meaning of words: LIWC and computerized text analysis methods. Journal of Language and Social Psychology, 29(1), 24–54. DOI ↗
Další názvyText network analysis, Concept co-occurrence network analysis, Centering resonance analysis, Anlamsal Ağ AnaliziLinguistic Inquiry and Word Count, LIWC dictionary analysis, Word-count text analysis, LIWC Metin Analizi
Příbuzné44
ShrnutíSemantic network analysis represents the meaning of a text or corpus as a network of concepts connected by their co-occurrence or grammatical proximity, then uses network-analytic measures to reveal which ideas are central, how concepts cluster, and how shared meaning is structured. In communication research it is the standard way to map the conceptual architecture of media coverage, organizational discourse, and public conversation at scale.LIWC (Linguistic Inquiry and Word Count) is a dictionary-based text-analysis method that counts the proportion of words in a text falling into psychologically and linguistically meaningful categories — such as positive emotion, cognitive processing, social references, and function words like pronouns. Developed by James Pennebaker and colleagues, it has become a workhorse for quantifying the psychological and rhetorical character of communication at scale.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Semantic Network Analysis · LIWC Text Analysis. Získáno 2026-06-24 z https://scholargate.app/cs/compare