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Sentiment Analysis in Communication×Framing Analysis×
Lĩnh vựcCommunicationCommunication
HọProcess / pipelineProcess / pipeline
Năm ra đời20101993
Người khởi xướngAdapted into communication research from NLP / opinion miningRobert M. Entman (synthesis); roots in Goffman, Tuchman, Gitlin
LoạiAutomated classification of message valence/toneInterpretive-quantitative analysis of how messages select and emphasize aspects of reality
Công trình gốcTausczik, 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 ↗Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of Communication, 43(4), 51–58. DOI ↗
Tên gọi khácOpinion mining in communication, Tone analysis, Media sentiment analysis, İletişimde Duygu AnaliziFrame analysis, Media framing analysis method, Frame mapping, Çerçeveleme Analizi
Liên quan55
Tóm tắtSentiment analysis is the automated estimation of the valence — positive, negative, or neutral tone — of communication messages, adapted from natural-language processing into a core measurement technique for media and communication research. It lets scholars quantify the tone of news coverage, the affect of social-media discourse, or audience reactions across corpora far too large for hand coding, while treating tone as a measurable, validatable construct.Framing analysis is a communication research method for studying how messages select certain aspects of a perceived reality and make them more salient — promoting a particular problem definition, causal interpretation, moral evaluation, and treatment recommendation. Building on Robert Entman's influential 1993 synthesis, it moves beyond counting what is present to reconstructing the organizing ideas, or frames, that give media coverage its meaning and persuasive shape.
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ScholarGateSo sánh phương pháp: Sentiment Analysis in Communication · Framing Analysis. Truy cập ngày 2026-06-24 từ https://scholargate.app/vi/compare