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LIWC Text Analysis×Semantic Network Analysis×
ΠεδίοCommunicationCommunication
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης20011999
ΔημιουργόςJames W. Pennebaker and colleaguesGeorge Barnett, Marya Doerfel, Steven Corman (communication applications)
ΤύποςDictionary-based quantitative text analysisNetwork representation of concepts and their co-occurrence in text
Θεμελιώδης πηγήTausczik, 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 ↗Corman, 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 ↗
Εναλλακτικές ονομασίεςLinguistic Inquiry and Word Count, LIWC dictionary analysis, Word-count text analysis, LIWC Metin AnaliziText network analysis, Concept co-occurrence network analysis, Centering resonance analysis, Anlamsal Ağ Analizi
Συναφείς44
ΣύνοψηLIWC (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.Semantic 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.
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ScholarGateΣύγκριση μεθόδων: LIWC Text Analysis · Semantic Network Analysis. Ανακτήθηκε στις 2026-06-24 από https://scholargate.app/el/compare