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Automated Content Analysis

Automated content analysis is the computational measurement of text features at a scale impossible by hand, using natural-language processing and machine learning to classify, scale, or discover the content of large corpora. Synthesized for the social sciences by Grimmer and Stewart's 2013 'Text as Data,' it spans supervised classification, unsupervised discovery, and scaling, all unified by the principle that automated methods augment but do not replace careful human judgment and validation.

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Automated (Computational) Content Analysis of Text

Taksonomisk metoderegister · process-pipeline / communication

Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis, 21(3), 267–297. · DOI 10.1093/pan/mps028
Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Thousand Oaks, CA: Sage. · ISBN 9780761915454

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Relaterte metoder

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Taxonomic bucketDictionary-Based Text Analysismachine-suggested · Relational suggestion, not evidence.Same method familyManifest Content Analysismachine-suggested · Relational suggestion, not evidence.Same method familySentiment Analysis in Communicationmachine-suggested · Relational suggestion, not evidence.Used in the same domainTopic Modeling for Communication Researchmachine-suggested · Relational suggestion, not evidence.