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Semantic Network Analysis×LIWC Text Analysis×
المجالCommunicationCommunication
العائلةProcess / pipelineProcess / pipeline
سنة النشأة19992001
صاحب الطريقةGeorge Barnett, Marya Doerfel, Steven Corman (communication applications)James W. Pennebaker and colleagues
النوعNetwork representation of concepts and their co-occurrence in textDictionary-based quantitative text analysis
المصدر التأسيسيCorman, 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 ↗
الأسماء البديلةText 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
ذات صلة44
الملخصSemantic 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.
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ScholarGateقارن الطرق: Semantic Network Analysis · LIWC Text Analysis. استُرجع بتاريخ 2026-06-24 من https://scholargate.app/ar/compare